diff --git a/ChallengeDB/ChallengeDB_llava_test_oc.json b/ChallengeDB/ChallengeDB_llava_test_oc.json
new file mode 100644
index 0000000000000000000000000000000000000000..942a62df1444950323d4ab2aa772646ea39e592c
--- /dev/null
+++ b/ChallengeDB/ChallengeDB_llava_test_oc.json
@@ -0,0 +1,3264 @@
+[
+    {
+        "id": "0",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/t1.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "1",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/t4.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "2",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/103.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "3",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/105.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "4",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/110.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "5",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/112.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "6",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/113.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "7",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/117.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "8",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/119.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "9",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/121.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "10",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/132.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "11",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/146.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "12",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/154.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "13",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/155.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "14",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/156.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "15",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/158.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "16",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/15.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "17",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/163.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "18",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/170.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "19",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/179.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "20",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/18.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "21",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/194.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "22",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/196.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "23",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/201.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "24",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/205.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "25",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/209.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "26",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/220.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "27",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/222.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "28",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/225.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "29",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/228.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "30",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/240.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "31",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/252.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "32",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/258.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "33",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/25.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "34",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/264.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "35",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/269.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "36",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/26.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "37",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/272.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "38",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/274.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "39",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/276.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "40",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/277.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "41",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/278.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "42",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/292.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "43",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/298.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "44",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/299.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "45",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/29.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "46",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/300.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "47",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/305.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "48",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/307.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "49",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/313.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "50",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/318.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "51",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/331.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "52",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/33.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "53",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/347.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "54",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/354.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "55",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/360.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "56",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/363.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "57",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/36.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "58",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/371.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "59",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/373.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "60",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/374.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "61",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/381.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "62",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/382.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "63",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/387.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "64",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/388.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "65",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/3.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "66",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/402.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "67",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/404.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "68",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/407.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "69",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/408.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "70",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/415.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "71",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/417.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "72",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/418.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "73",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/421.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "74",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/422.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "75",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/432.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "76",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/434.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "77",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/436.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "78",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/441.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "79",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/444.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "80",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/448.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "81",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/44.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "82",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/459.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "83",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/460.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "84",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/472.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "85",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/478.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "86",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/479.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "87",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/486.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "88",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/487.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "89",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/495.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "90",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/4.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "91",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/507.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "92",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/515.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "93",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/516.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "94",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/524.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "95",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/531.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "96",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/5.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "97",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/61.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "98",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/64.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "99",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/67.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "100",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/69.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "101",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/75.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "102",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/83.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "103",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/8.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "104",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/539.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "105",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/547.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "106",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/550.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "107",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/559.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "108",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/562.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "109",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/568.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "110",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/575.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "111",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/587.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "112",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/589.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "113",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/593.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "114",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/594.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "115",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/595.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "116",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/615.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "117",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/616.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "118",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/633.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "119",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/634.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "120",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/639.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "121",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/641.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "122",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/642.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "123",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/646.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "124",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/651.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "125",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/655.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "126",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/656.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "127",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/662.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "128",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/665.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "129",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/666.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "130",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/668.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "131",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/682.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "132",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/685.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "133",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/688.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "134",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/693.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "135",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/694.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "136",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/698.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "137",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/701.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "138",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/702.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "139",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/714.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "140",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/728.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "141",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/729.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "142",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/745.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "143",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/749.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "144",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/752.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "145",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/754.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "146",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/757.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "147",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/758.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "148",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/762.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "149",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/770.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "150",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/771.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "151",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/772.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "152",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/774.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "153",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/780.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "154",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/783.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "155",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/797.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "156",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/808.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "157",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/812.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "158",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/816.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "159",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/818.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "160",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/826.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "161",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/828.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "162",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/832.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "163",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/844.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "164",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/858.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "165",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/862.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "166",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/865.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "167",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/867.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "168",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/870.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "169",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/875.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "170",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/877.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "171",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/880.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "172",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/882.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "173",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/884.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "174",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/885.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "175",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/891.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "176",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/895.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "177",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/896.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "178",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/902.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "179",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/909.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "180",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/911.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "181",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/913.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "182",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/921.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "183",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/922.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "184",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/930.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "185",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/931.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "186",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/936.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "187",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/942.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "188",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/952.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "189",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/953.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "190",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/954.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "191",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/957.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "192",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/964.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "193",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/972.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "194",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/974.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "195",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/976.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "196",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/978.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "197",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/980.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "198",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/988.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "199",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/989.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "200",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/998.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "201",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1003.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "202",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1015.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "203",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1018.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "204",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1022.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "205",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1026.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "206",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1035.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "207",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1037.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "208",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1038.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "209",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1042.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "210",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1044.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "211",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1058.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "212",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1062.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "213",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1063.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "214",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1068.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "215",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1072.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "216",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1075.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "217",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1080.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "218",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1088.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "219",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1089.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "220",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1093.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "221",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1095.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "222",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1098.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "223",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1111.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "224",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1115.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "225",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1116.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "226",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1118.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "227",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1136.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "228",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1141.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "229",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1148.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "230",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1149.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "231",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1162.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "232",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1163.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    }
+]
\ No newline at end of file
diff --git a/ChallengeDB/ChallengeDB_llava_train_oc.json b/ChallengeDB/ChallengeDB_llava_train_oc.json
new file mode 100644
index 0000000000000000000000000000000000000000..fec7a0953276aa0bc3f0046c73bba2fc8f6dd1b4
--- /dev/null
+++ b/ChallengeDB/ChallengeDB_llava_train_oc.json
@@ -0,0 +1,13106 @@
+[
+    {
+        "id": "0",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/t2.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "1",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/t3.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "2",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/t5.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "3",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/t6.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "4",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/104.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "5",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/106.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "6",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/116.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "7",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/122.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "8",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/12.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "9",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/135.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "10",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/138.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "11",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/145.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "12",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/147.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "13",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/149.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "14",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/157.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "15",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/159.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "16",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/166.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "17",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/167.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "18",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/171.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "19",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/17.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "20",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/182.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "21",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/185.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "22",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/192.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "23",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/197.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "24",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/207.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "25",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/208.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "26",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/210.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "27",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/211.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "28",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/212.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "29",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/214.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "30",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/218.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "31",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/223.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "32",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/224.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "33",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/226.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "34",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/229.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "35",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/234.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "36",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/235.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "37",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/241.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "38",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/249.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "39",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/24.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "40",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/256.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "41",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/259.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "42",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/261.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "43",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/263.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "44",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/266.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "45",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/270.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "46",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/27.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "47",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/281.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "48",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/282.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "49",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/283.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "50",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/284.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "51",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/286.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "52",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/289.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "53",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/308.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "54",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/310.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "55",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/323.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "56",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/326.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "57",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/327.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "58",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/328.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "59",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/32.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "60",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/334.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "61",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/339.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "62",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/340.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "63",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/344.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "64",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/353.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "65",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/357.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "66",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/35.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "67",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/367.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "68",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/372.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "69",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/375.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "70",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/376.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "71",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/379.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "72",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/37.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "73",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/383.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "74",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/384.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "75",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/389.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "76",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/391.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "77",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/397.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "78",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/398.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "79",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/399.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "80",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/406.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "81",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/409.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "82",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/410.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "83",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/447.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "84",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/450.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "85",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/454.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "86",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/462.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "87",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/485.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "88",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/488.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "89",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/497.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "90",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/498.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "91",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/502.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "92",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/50.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "93",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/522.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "94",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/523.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "95",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/528.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "96",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/529.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "97",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/58.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "98",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/6.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "99",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/71.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "100",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/79.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "101",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/7.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "102",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/80.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "103",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/85.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "104",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/91.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "105",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/97.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "106",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/99.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "107",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/9.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "108",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/534.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "109",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/543.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "110",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/544.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "111",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/545.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "112",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/551.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "113",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/555.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "114",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/557.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "115",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/560.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "116",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/561.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "117",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/564.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "118",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/591.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "119",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/598.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "120",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/605.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "121",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/613.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "122",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/614.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "123",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/617.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "124",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/618.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "125",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/621.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "126",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/623.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "127",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/628.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "128",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/629.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "129",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/638.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "130",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/640.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "131",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/648.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "132",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/659.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "133",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/663.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "134",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/664.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "135",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/667.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "136",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/669.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "137",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/696.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "138",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/699.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "139",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/700.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "140",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/710.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "141",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/718.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "142",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/734.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "143",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/763.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "144",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/764.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "145",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/766.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "146",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/767.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "147",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/769.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "148",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/781.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "149",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/785.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "150",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/786.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "151",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/787.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "152",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/789.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "153",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/790.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "154",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/792.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "155",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/798.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "156",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/799.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "157",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/801.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "158",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/802.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "159",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/809.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "160",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/824.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "161",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/827.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "162",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/830.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "163",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/831.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "164",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/836.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "165",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/838.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "166",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/843.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "167",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/847.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "168",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/849.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "169",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/852.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "170",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/855.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "171",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/856.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "172",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/857.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "173",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/868.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "174",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/871.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "175",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/878.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "176",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/887.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "177",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/889.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "178",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/894.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "179",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/901.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "180",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/904.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "181",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/905.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "182",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/906.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "183",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/914.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "184",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/924.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "185",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/926.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "186",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/929.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "187",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/933.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "188",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/938.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "189",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/939.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "190",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/941.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "191",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/945.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "192",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/947.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "193",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/950.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "194",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/951.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "195",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/956.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "196",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/960.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "197",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/975.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "198",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/982.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "199",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/996.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "200",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1008.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "201",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1010.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "202",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1013.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "203",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1014.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "204",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1016.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "205",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1019.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "206",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1023.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "207",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1024.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "208",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1027.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "209",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1032.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "210",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1033.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "211",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1036.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "212",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1046.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "213",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1054.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "214",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1064.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "215",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1071.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "216",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1073.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "217",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1076.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "218",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1086.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "219",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1087.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "220",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1091.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "221",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1092.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "222",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1102.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "223",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1104.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "224",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1113.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "225",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1114.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "226",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1121.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "227",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1130.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "228",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1132.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "229",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1147.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "230",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1150.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "231",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1152.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "232",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1156.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "233",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1161.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "234",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/t7.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "235",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/102.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "236",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/10.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "237",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/11.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "238",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/123.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "239",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/124.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "240",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/127.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "241",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/128.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "242",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/131.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "243",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/133.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "244",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/139.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "245",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/13.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "246",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/140.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "247",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/142.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "248",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/152.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "249",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/162.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "250",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/168.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "251",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/174.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "252",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/177.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "253",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/180.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "254",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/186.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "255",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/187.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "256",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/188.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "257",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/189.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "258",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/190.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "259",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/191.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "260",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/204.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "261",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/206.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "262",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/215.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "263",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/219.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "264",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/21.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "265",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/221.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "266",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/22.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "267",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/231.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "268",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/233.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "269",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/236.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "270",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/246.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "271",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/257.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "272",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/260.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "273",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/271.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "274",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/273.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "275",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/280.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "276",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/290.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "277",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/291.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "278",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/295.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "279",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/296.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "280",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/302.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "281",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/304.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "282",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/309.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "283",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/30.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "284",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/315.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "285",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/319.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "286",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/330.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "287",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/333.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "288",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/337.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "289",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/343.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "290",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/352.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "291",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/369.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "292",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/370.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "293",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/377.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "294",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/380.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "295",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/390.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "296",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/394.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "297",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/395.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "298",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/40.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "299",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/419.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "300",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/41.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "301",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/423.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "302",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/424.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "303",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/425.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "304",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/427.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "305",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/429.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "306",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/430.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "307",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/437.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "308",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/43.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "309",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/440.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "310",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/443.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "311",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/446.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "312",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/449.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "313",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/453.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "314",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/457.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "315",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/458.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "316",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/461.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "317",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/464.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "318",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/465.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "319",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/466.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "320",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/467.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "321",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/471.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "322",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/477.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "323",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/480.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "324",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/489.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "325",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/490.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "326",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/491.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "327",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/503.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "328",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/504.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "329",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/505.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "330",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/512.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "331",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/517.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "332",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/519.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "333",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/520.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "334",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/527.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "335",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/532.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "336",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/54.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "337",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/56.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "338",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/57.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "339",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/66.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "340",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/70.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "341",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/74.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "342",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/78.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "343",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/84.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "344",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/86.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "345",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/88.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "346",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/89.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "347",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/90.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "348",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/93.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "349",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/94.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "350",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/95.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "351",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/96.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "352",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/98.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "353",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/538.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "354",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/546.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "355",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/548.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "356",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/549.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "357",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/558.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "358",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/565.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "359",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/573.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "360",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/574.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "361",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/579.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "362",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/580.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "363",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/581.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "364",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/586.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "365",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/599.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "366",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/600.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "367",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/602.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "368",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/607.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "369",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/611.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "370",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/612.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "371",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/619.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "372",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/622.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "373",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/630.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "374",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/636.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "375",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/649.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "376",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/652.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "377",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/653.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "378",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/660.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "379",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/679.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "380",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/681.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "381",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/689.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "382",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/691.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "383",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/707.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "384",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/711.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "385",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/713.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "386",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/717.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "387",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/721.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "388",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/722.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "389",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/725.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "390",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/730.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "391",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/732.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "392",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/737.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "393",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/739.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "394",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/741.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "395",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/742.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "396",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/743.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "397",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/748.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "398",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/750.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "399",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/753.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "400",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/755.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "401",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/756.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "402",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/760.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "403",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/761.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "404",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/773.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "405",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/775.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "406",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/776.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "407",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/777.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "408",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/795.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "409",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/796.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "410",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/803.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "411",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/807.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "412",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/810.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "413",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/811.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "414",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/813.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "415",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/814.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "416",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/822.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "417",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/829.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "418",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/835.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "419",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/850.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "420",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/864.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "421",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/874.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "422",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/876.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "423",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/886.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "424",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/888.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "425",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/897.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "426",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/899.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "427",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/920.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "428",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/923.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "429",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/928.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "430",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/932.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "431",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/934.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "432",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/935.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "433",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/946.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "434",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/948.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "435",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/971.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "436",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/990.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "437",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/991.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "438",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/994.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "439",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/995.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "440",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1002.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "441",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1007.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "442",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1011.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "443",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1029.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "444",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1030.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "445",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1045.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "446",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1049.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "447",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1050.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "448",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1053.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "449",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1059.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "450",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1060.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "451",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1074.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "452",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1083.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "453",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1101.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "454",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1106.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "455",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1107.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "456",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1112.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "457",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1124.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "458",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1131.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "459",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1133.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "460",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1134.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "461",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1138.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "462",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1139.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "463",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1142.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "464",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1146.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "465",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1153.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "466",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1157.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "467",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1164.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "468",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/100.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "469",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/101.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "470",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/108.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "471",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/111.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "472",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/118.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "473",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/120.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "474",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/125.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "475",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/129.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "476",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/130.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "477",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/136.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "478",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/144.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "479",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/151.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "480",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/160.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "481",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/164.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "482",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/165.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "483",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/172.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "484",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/175.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "485",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/183.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "486",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/184.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "487",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/198.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "488",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/199.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "489",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/19.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "490",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/200.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "491",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/202.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "492",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/20.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "493",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/213.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "494",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/227.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "495",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/230.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "496",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/239.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "497",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/244.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "498",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/245.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "499",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/247.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "500",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/251.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "501",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/253.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "502",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/262.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "503",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/265.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "504",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/267.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "505",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/293.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "506",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/301.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "507",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/303.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "508",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/306.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "509",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/311.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "510",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/312.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "511",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/325.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "512",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/332.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "513",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/335.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "514",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/345.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "515",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/346.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "516",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/348.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "517",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/355.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "518",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/358.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "519",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/359.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "520",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/368.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "521",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/386.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "522",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/392.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "523",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/396.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "524",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/400.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "525",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/401.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "526",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/403.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "527",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/413.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "528",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/428.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "529",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/431.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "530",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/433.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "531",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/438.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "532",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/439.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "533",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/442.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "534",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/445.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "535",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/451.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "536",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/452.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "537",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/45.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "538",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/463.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "539",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/468.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "540",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/469.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "541",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/46.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "542",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/470.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "543",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/474.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "544",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/475.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "545",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/481.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "546",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/483.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "547",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/484.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "548",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/493.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "549",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/494.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "550",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/49.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "551",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/500.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "552",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/510.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "553",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/514.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "554",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/525.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "555",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/526.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "556",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/52.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "557",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/53.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "558",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/59.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "559",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/63.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "560",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/65.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "561",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/68.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "562",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/72.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "563",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/73.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "564",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/76.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "565",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/77.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "566",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/92.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "567",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/537.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "568",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/540.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "569",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/542.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "570",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/552.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "571",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/553.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "572",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/554.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "573",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/556.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "574",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/570.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "575",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/571.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "576",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/577.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "577",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/584.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "578",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/585.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "579",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/588.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "580",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/590.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "581",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/592.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "582",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/603.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "583",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/604.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "584",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/606.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "585",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/609.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "586",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/625.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "587",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/626.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "588",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/627.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "589",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/637.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "590",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/643.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "591",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/645.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "592",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/658.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "593",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/661.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "594",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/670.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "595",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/675.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "596",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/678.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "597",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/683.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "598",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/687.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "599",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/690.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "600",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/692.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "601",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/697.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "602",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/703.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "603",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/704.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "604",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/705.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "605",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/708.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "606",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/715.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "607",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/719.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "608",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/720.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "609",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/724.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "610",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/733.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "611",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/735.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "612",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/736.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "613",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/740.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "614",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/744.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "615",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/751.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "616",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/778.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "617",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/782.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "618",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/784.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "619",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/791.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "620",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/793.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "621",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/794.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "622",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/800.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "623",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/817.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "624",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/820.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "625",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/821.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "626",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/825.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "627",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/833.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "628",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/834.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "629",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/837.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "630",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/840.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "631",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/845.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "632",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/846.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "633",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/848.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "634",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/854.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "635",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/863.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "636",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/869.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "637",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/872.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "638",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/873.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "639",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/879.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "640",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/890.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "641",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/893.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "642",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/903.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "643",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/910.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "644",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/915.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "645",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/918.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "646",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/925.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "647",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/949.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "648",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/955.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "649",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/958.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "650",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/959.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "651",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/961.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "652",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/966.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "653",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/967.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "654",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/968.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "655",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/973.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "656",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/979.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "657",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/984.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "658",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/985.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "659",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/987.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "660",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/992.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "661",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/993.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "662",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/997.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "663",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1001.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "664",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1004.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "665",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1009.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "666",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1012.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "667",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1017.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "668",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1020.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "669",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1021.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "670",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1028.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "671",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1040.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "672",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1041.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "673",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1043.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "674",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1047.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "675",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1052.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "676",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1056.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "677",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1057.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "678",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1066.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "679",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1067.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "680",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1069.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "681",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1070.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "682",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1077.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "683",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1078.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "684",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1079.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "685",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1082.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "686",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1084.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "687",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1094.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "688",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1096.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "689",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1099.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "690",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1100.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "691",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1109.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "692",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1110.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "693",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1122.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "694",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1126.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "695",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1127.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "696",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1129.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "697",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1137.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "698",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1144.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "699",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1151.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "700",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1154.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "701",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1158.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "702",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/107.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "703",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/109.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "704",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/114.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "705",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/115.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "706",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/126.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "707",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/134.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "708",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/137.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "709",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/141.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "710",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/143.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "711",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/148.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "712",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/14.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "713",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/150.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "714",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/153.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "715",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/161.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "716",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/169.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "717",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/16.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "718",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/173.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "719",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/176.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "720",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/178.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "721",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/181.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "722",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/193.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "723",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/195.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "724",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/203.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "725",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/216.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "726",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/217.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "727",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/232.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "728",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/237.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "729",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/238.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "730",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/23.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "731",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/242.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "732",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/243.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "733",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/248.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "734",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/250.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "735",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/254.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "736",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/255.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "737",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/268.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "738",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/275.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "739",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/279.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "740",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/285.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "741",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/287.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "742",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/288.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "743",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/28.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "744",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/294.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "745",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/297.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "746",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/314.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "747",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/316.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "748",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/317.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "749",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/31.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "750",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/320.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "751",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/321.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "752",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/322.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "753",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/324.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "754",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/329.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "755",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/336.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "756",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/338.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "757",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/341.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "758",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/342.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "759",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/349.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "760",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/34.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "761",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/350.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "762",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/351.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "763",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/356.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "764",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/361.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "765",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/362.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "766",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/364.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "767",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/365.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "768",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/366.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "769",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/378.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "770",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/385.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "771",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/38.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "772",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/393.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "773",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/39.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "774",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/405.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "775",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/411.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "776",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/412.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "777",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/414.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "778",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/416.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "779",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/420.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "780",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/426.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "781",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/42.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "782",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/435.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "783",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/455.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "784",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/456.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "785",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/473.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "786",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/476.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "787",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/47.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "788",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/482.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "789",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/48.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "790",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/492.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "791",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/496.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "792",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/499.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "793",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/501.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "794",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/506.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "795",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/508.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "796",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/509.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "797",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/511.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "798",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/513.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "799",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/518.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "800",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/51.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "801",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/521.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "802",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/530.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "803",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/55.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "804",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/60.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "805",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/62.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "806",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/81.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "807",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/82.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "808",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/87.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "809",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/533.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "810",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/535.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "811",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/536.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "812",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/541.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "813",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/563.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "814",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/566.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "815",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/567.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "816",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/569.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "817",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/572.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "818",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/576.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "819",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/578.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "820",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/582.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "821",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/583.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "822",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/596.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "823",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/597.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "824",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/601.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "825",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/608.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "826",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/610.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "827",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/620.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "828",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/624.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "829",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/631.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "830",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/632.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "831",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/635.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "832",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/644.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "833",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/647.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "834",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/650.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "835",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/654.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "836",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/657.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "837",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/671.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "838",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/672.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "839",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/673.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "840",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/674.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "841",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/676.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "842",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/677.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "843",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/680.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "844",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/684.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "845",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/686.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "846",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/695.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "847",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/706.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "848",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/709.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "849",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/712.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "850",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/716.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "851",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/723.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "852",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/726.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "853",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/727.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "854",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/731.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "855",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/738.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "856",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/746.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "857",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/747.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "858",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/759.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "859",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/765.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "860",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/768.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "861",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/779.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "862",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/788.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "863",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/804.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "864",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/805.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "865",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/806.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "866",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/815.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "867",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/819.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "868",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/823.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "869",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/839.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "870",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/841.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "871",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/842.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "872",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/851.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "873",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/853.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "874",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/859.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "875",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/860.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "876",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/861.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "877",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/866.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "878",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/881.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "879",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/883.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "880",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/892.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "881",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/898.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "882",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/900.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "883",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/907.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate0(Bad)"
+            }
+        ]
+    },
+    {
+        "id": "884",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/908.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "885",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/912.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "886",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/916.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "887",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/917.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "888",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/919.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "889",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/927.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "890",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/937.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "891",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/940.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "892",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/943.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "893",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/944.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    },
+    {
+        "id": "894",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/962.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "895",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/963.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "896",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/965.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "897",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/969.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "898",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/970.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "899",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/977.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "900",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/981.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "901",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/983.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "902",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/986.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "903",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/999.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "904",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1000.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "905",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1005.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "906",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1006.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "907",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1025.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "908",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1031.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "909",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1034.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "910",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1039.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "911",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1048.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "912",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1051.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "913",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1055.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "914",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1061.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "915",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1065.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "916",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1081.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "917",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1085.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "918",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1090.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "919",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1097.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "920",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1103.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "921",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1105.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "922",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1108.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "923",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1117.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "924",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1119.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "925",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1120.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate4(Excellent)"
+            }
+        ]
+    },
+    {
+        "id": "926",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1123.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "927",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1125.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "928",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1128.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "929",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1135.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "930",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1140.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "931",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1143.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "932",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1145.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "933",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1155.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate3-4(Above Fair), rate3(Good)"
+            }
+        ]
+    },
+    {
+        "id": "934",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1159.JPG",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate2(Fair), rate2(Fair)"
+            }
+        ]
+    },
+    {
+        "id": "935",
+        "image": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1160.bmp",
+        "conversations": [
+            {
+                "from": "human",
+                "value": "<image>\nYou are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: rate0-1(Below Fair), rate2(Fair), rate3-4(Above Fair). Based on the coarse classification, proceed to make a final rate prediction. Please note that the coarse and predicted rate results should be consistent."
+            },
+            {
+                "from": "gpt",
+                "value": "rate0-1(Below Fair), rate1(Poor)"
+            }
+        ]
+    }
+]
\ No newline at end of file
diff --git a/ChallengeDB/ChallengeDB_qwen_test_oc.jsonl b/ChallengeDB/ChallengeDB_qwen_test_oc.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..57beca8955233132a1916ab1c7d71d2e64a0524b
--- /dev/null
+++ b/ChallengeDB/ChallengeDB_qwen_test_oc.jsonl
@@ -0,0 +1,233 @@
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/t1.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/t4.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/103.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/105.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/110.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/112.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/113.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/117.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/119.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/121.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/132.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/146.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/154.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/155.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/156.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/158.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/15.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/163.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/170.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/179.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/18.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/194.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/196.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/201.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/205.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/209.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/220.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/222.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/225.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/228.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/240.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/252.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/258.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/25.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/264.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/269.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/26.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/272.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/274.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/276.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/277.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/278.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/292.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/298.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/299.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/29.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/300.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/305.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/307.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/313.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/318.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/331.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/33.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/347.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/354.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/360.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/363.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/36.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/371.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/373.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/374.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/381.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/382.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/387.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/388.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/3.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/402.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/404.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/407.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/408.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/415.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/417.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/418.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/421.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/422.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/432.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/434.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/436.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/441.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/444.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/448.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/44.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/459.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/460.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/472.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/478.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/479.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/486.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/487.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/495.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/4.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/507.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/515.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/516.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/524.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/531.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/5.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/61.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/64.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/67.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/69.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/75.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/83.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/8.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/539.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/547.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/550.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/559.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/562.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/568.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/575.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/587.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/589.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/593.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/594.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/595.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/615.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/616.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/633.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/634.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/639.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/641.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/642.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/646.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/651.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/655.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/656.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/662.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/665.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/666.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/668.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/682.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/685.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/688.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/693.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/694.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/698.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/701.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/702.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/714.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/728.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/729.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/745.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/749.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/752.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/754.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/757.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/758.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/762.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/770.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/771.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/772.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/774.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/780.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/783.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/797.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/808.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/812.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/816.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/818.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/826.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/828.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/832.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/844.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/858.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/862.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/865.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/867.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/870.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/875.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/877.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/880.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/882.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/884.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/885.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/891.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/895.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/896.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/902.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/909.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/911.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/913.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/921.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/922.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/930.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/931.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/936.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/942.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/952.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/953.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/954.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/957.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/964.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/972.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/974.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/976.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/978.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/980.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/988.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/989.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/998.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1003.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1015.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1018.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1022.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1026.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1035.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1037.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1038.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1042.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1044.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1058.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1062.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1063.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1068.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1072.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1075.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1080.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1088.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1089.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1093.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1095.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1098.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1111.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1115.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1116.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1118.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1136.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1141.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1148.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1149.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1162.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1163.bmp"}
diff --git a/ChallengeDB/ChallengeDB_qwen_train_oc.jsonl b/ChallengeDB/ChallengeDB_qwen_train_oc.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..0bc2fa6bec705998b09b68eedd4a7236702ea184
--- /dev/null
+++ b/ChallengeDB/ChallengeDB_qwen_train_oc.jsonl
@@ -0,0 +1,936 @@
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/t2.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/t3.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/t5.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/t6.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/104.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/106.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/116.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/122.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/12.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/135.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/138.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/145.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/147.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/149.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/157.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/159.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/166.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/167.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/171.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/17.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/182.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/185.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/192.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/197.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/207.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/208.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/210.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/211.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/212.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/214.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/218.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/223.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/224.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/226.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/229.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/234.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/235.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/241.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/249.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/24.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/256.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/259.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/261.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/263.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/266.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/270.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/27.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/281.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/282.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/283.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/284.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/286.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/289.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/308.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/310.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/323.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/326.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/327.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/328.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/32.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/334.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/339.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/340.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/344.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/353.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/357.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/35.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/367.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/372.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/375.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/376.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/379.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/37.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/383.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/384.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/389.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/391.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/397.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/398.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/399.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/406.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/409.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/410.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/447.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/450.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/454.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/462.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/485.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/488.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/497.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/498.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/502.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/50.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/522.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/523.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/528.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/529.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/58.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/6.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/71.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/79.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/7.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/80.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/85.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/91.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/97.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/99.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/9.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/534.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/543.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/544.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/545.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/551.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/555.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/557.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/560.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/561.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/564.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/591.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/598.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/605.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/613.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/614.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/617.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/618.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/621.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/623.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/628.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/629.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/638.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/640.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/648.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/659.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/663.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/664.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/667.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/669.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/696.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/699.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/700.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/710.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/718.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/734.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/763.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/764.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/766.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/767.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/769.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/781.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/785.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/786.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/787.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/789.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/790.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/792.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/798.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/799.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/801.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/802.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/809.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/824.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/827.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/830.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/831.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/836.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/838.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/843.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/847.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/849.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/852.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/855.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/856.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/857.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/868.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/871.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/878.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/887.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/889.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/894.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/901.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/904.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/905.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/906.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/914.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/924.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/926.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/929.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/933.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/938.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/939.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/941.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/945.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/947.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/950.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/951.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/956.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/960.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/975.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/982.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/996.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1008.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1010.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1013.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1014.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1016.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1019.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1023.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1024.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1027.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1032.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1033.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1036.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1046.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1054.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1064.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1071.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1073.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1076.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1086.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1087.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1091.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1092.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1102.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1104.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1113.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1114.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1121.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1130.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1132.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1147.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1150.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1152.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1156.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1161.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/t7.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/102.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/10.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/11.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/123.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/124.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/127.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/128.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/131.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/133.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/139.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/13.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/140.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/142.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/152.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/162.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/168.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/174.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/177.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/180.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/186.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/187.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/188.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/189.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/190.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/191.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/204.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/206.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/215.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/219.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/21.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/221.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/22.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/231.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/233.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/236.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/246.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/257.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/260.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/271.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/273.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/280.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/290.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/291.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/295.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/296.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/302.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/304.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/309.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/30.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/315.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/319.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/330.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/333.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/337.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/343.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/352.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/369.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/370.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/377.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/380.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/390.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/394.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/395.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/40.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/419.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/41.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/423.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/424.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/425.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/427.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/429.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/430.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/437.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/43.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/440.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/443.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/446.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/449.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/453.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/457.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/458.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/461.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/464.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/465.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/466.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/467.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/471.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/477.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/480.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/489.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/490.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/491.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/503.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/504.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/505.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/512.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/517.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/519.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/520.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/527.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/532.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/54.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/56.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/57.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/66.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/70.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/74.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/78.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/84.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/86.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/88.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/89.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/90.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/93.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/94.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/95.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/96.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/98.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/538.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/546.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/548.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/549.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/558.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/565.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/573.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/574.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/579.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/580.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/581.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/586.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/599.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/600.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/602.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/607.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/611.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/612.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/619.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/622.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/630.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/636.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/649.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/652.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/653.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/660.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/679.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/681.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/689.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/691.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/707.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/711.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/713.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/717.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/721.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/722.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/725.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/730.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/732.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/737.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/739.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/741.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/742.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/743.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/748.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/750.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/753.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/755.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/756.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/760.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/761.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/773.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/775.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/776.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/777.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/795.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/796.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/803.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/807.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/810.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/811.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/813.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/814.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/822.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/829.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/835.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/850.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/864.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/874.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/876.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/886.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/888.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/897.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/899.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/920.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/923.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/928.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/932.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/934.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/935.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/946.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/948.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/971.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/990.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/991.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/994.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/995.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1002.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1007.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1011.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1029.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1030.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1045.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1049.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1050.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1053.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1059.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1060.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1074.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1083.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1101.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1106.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1107.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1112.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1124.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1131.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1133.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1134.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1138.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1139.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1142.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1146.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1153.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1157.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1164.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/100.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/101.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/108.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/111.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/118.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/120.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/125.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/129.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/130.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/136.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/144.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/151.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/160.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/164.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/165.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/172.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/175.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/183.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/184.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/198.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/199.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/19.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/200.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/202.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/20.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/213.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/227.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/230.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/239.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/244.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/245.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/247.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/251.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/253.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/262.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/265.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/267.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/293.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/301.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/303.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/306.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/311.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/312.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/325.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/332.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/335.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/345.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/346.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/348.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/355.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/358.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/359.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/368.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/386.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/392.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/396.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/400.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/401.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/403.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/413.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/428.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/431.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/433.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/438.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/439.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/442.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/445.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/451.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/452.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/45.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/463.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/468.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/469.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/46.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/470.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/474.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/475.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/481.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/483.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/484.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/493.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/494.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/49.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/500.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/510.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/514.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/525.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/526.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/52.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/53.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/59.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/63.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/65.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/68.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/72.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/73.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/76.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/77.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/92.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/537.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/540.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/542.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/552.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/553.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/554.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/556.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/570.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/571.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/577.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/584.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/585.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/588.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/590.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/592.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/603.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/604.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/606.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/609.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/625.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/626.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/627.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/637.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/643.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/645.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/658.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/661.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/670.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/675.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/678.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/683.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/687.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/690.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/692.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/697.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/703.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/704.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/705.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/708.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/715.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/719.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/720.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/724.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/733.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/735.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/736.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/740.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/744.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/751.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/778.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/782.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/784.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/791.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/793.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/794.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/800.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/817.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/820.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/821.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/825.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/833.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/834.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/837.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/840.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/845.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/846.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/848.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/854.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/863.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/869.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/872.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/873.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/879.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/890.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/893.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/903.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/910.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/915.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/918.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/925.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/949.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/955.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/958.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/959.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/961.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/966.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/967.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/968.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/973.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/979.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/984.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/985.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/987.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/992.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/993.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/997.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1001.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1004.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1009.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1012.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1017.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1020.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1021.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1028.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1040.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1041.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1043.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1047.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1052.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1056.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1057.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1066.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1067.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1069.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1070.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1077.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1078.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1079.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1082.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1084.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1094.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1096.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1099.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1100.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1109.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1110.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1122.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1126.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1127.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1129.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1137.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1144.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1151.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1154.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1158.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/107.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/109.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/114.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/115.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/126.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/134.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/137.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/141.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/143.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/148.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/14.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/150.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/153.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/161.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/169.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/16.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/173.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/176.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/178.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/181.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/193.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/195.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/203.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/216.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/217.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/232.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/237.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/238.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/23.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/242.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/243.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/248.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/250.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/254.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/255.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/268.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/275.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/279.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/285.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/287.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/288.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/28.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/294.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/297.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/314.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/316.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/317.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/31.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/320.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/321.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/322.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/324.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/329.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/336.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/338.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/341.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/342.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/349.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/34.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/350.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/351.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/356.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/361.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/362.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/364.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/365.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/366.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/378.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/385.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/38.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/393.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/39.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/405.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/411.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/412.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/414.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/416.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/420.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/426.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/42.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/435.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/455.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/456.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/473.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/476.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/47.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/482.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/48.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/492.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/496.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/499.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/501.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/506.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/508.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/509.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/511.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/513.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/518.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/51.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/521.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/530.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/55.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/60.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/62.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/81.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/82.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/87.bmp"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/533.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/535.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/536.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/541.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/563.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/566.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/567.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/569.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/572.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/576.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/578.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/582.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/583.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/596.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/597.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/601.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/608.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/610.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/620.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/624.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/631.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/632.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/635.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/644.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/647.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/650.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/654.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/657.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/671.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/672.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/673.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/674.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/676.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/677.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/680.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/684.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/686.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/695.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/706.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/709.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/712.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/716.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/723.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/726.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/727.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/731.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/738.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/746.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/747.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/759.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/765.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/768.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/779.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/788.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/804.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/805.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/806.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/815.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/819.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/823.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/839.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/841.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/842.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/851.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/853.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/859.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/860.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/861.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/866.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/881.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/883.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/892.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/898.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/900.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 0", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/907.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/908.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/912.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/916.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/917.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/919.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/927.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/937.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/940.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/943.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/944.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/962.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/963.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/965.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/969.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/970.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/977.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/981.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/983.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/986.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/999.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1000.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1005.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1006.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1025.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1031.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1034.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1039.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1048.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1051.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1055.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1061.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1065.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1081.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1085.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1090.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1097.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1103.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1105.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1108.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1117.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1119.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 4", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1120.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1123.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1125.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1128.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1135.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1140.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1143.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1145.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: High, Predicted Rate: 3", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1155.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Medium, Predicted Rate: 2", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1159.JPG"}
+{"query": "You are now an advanced Image Quality Evaluator, and your task is assess the quality of the provided image. Please evaluate the image's quality based on a 5-rate scale: rate0(Bad), rate1(Poor), rate2(Fair), rate3(Good), rate4(Excellent). Please first coarsely categorise the image: Low(rate0-rate1), Medium(rate2), High(rate3-rate4). Based on the coarse classification, proceed to make a final rate prediction.The final output should be in the format: Coarse Classification: <result>, Predicted Rate: <result>. Please note that the coarse and predicted rate results should be consistent.", "response": "Coarse Classification: Low, Predicted Rate: 1", "image_path": "/data4/tongshuo/Ordinal_Regression/dataset/ChallengeDB/ChallengeDB_release/Images/1160.bmp"}
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