Update README.md

README.md

@@ -9,9 +9,9 @@ Based on the [Kuaishou](https://www.kuaishou.com/) short video data, we construc
 | Task           | Description                                                                 |
 | -------------- | --------------------------------------------------------------------------- |
 | CPV            | The task of predicting product attributes in e-commerce.                    |
-| Video_Topic    | The task of determining whether multiple videos belong to the same topic.   |
-| Video_Order    | The task of determining the logical order between multiple videos. |
-| PornComment    | The task of whether short video comments contain pornographic content.      |
+| Hot_Videos_Aggregation    | The task of determining whether multiple videos belong to the same topic.   |
+| Collection_Order     | The task of determining the logical order between multiple videos with the same topic. |
+| Pornographic_Comment    | The task of whether short video comments contain pornographic content.      |
 | High_Like      | A binary classification task to determine the rate of likes of a short video. |
 | SPU            | The task of determining whether two items are the same product in e-commerce. |
 
@@ -19,9 +19,9 @@ Based on the [Kuaishou](https://www.kuaishou.com/) short video data, we construc
 | Task           | Qwen2.5-VL-3B | Qwen2.5-VL-7B | InternVL-3-8B | MiMo-VL-7B | Kwai Keye-VL-8B |
 | -------------- | ------------- | ------------- | ------------- | ------- | ---- |
 | CPV            | 12.39         | 20.08         | 14.95         | 16.66   | 55.13 |
-| Video_Topic    | 42.38         | 46.35         | 52.31         | 49.00   | 54.30 |
-| Video_Order    | 36.88         | 59.83         | 64.75         | 78.68   | 84.43 |
-| PornComment    | 56.61         | 56.08         | 57.14         | 68.25   | 71.96 |
+| Hot_Videos_Aggregation    | 42.38         | 46.35         | 52.31         | 49.00   | 54.30 |
+| Collection_Order    | 36.88         | 59.83         | 64.75         | 78.68   | 84.43 |
+| Pornographic_Comment    | 56.61         | 56.08         | 57.14         | 68.25   | 71.96 |
 | High_Like      | 48.85         | 47.94         | 47.03         | 51.14   | 55.25 |
 | SPU            | 74.09         | 81.34         | 75.64         | 81.86   | 87.05 |
 
@@ -37,17 +37,17 @@ Here is an example of an evaluation using VLMs on our datasets. The following co
             "class": "KwaiVQADataset",
             "dataset": "CPV"
         },
-        "Video_Topic": {
+        "Hot_Videos_Aggregation": {
             "class": "KwaiVQADataset",
-            "dataset": "Video_Topic"
+            "dataset": "Hot_Videos_Aggregation"
         },
-        "Video_Order": {
+        "Collection_Order": {
             "class": "KwaiVQADataset",
-            "dataset": "Video_Order"
+            "dataset": "Collection_Order"
         },
-        "PornComment": {
+        "Pornographic_Comment": {
             "class": "KwaiYORNDataset",
-            "dataset": "PornComment"
+            "dataset": "Pornographic_Comment"
         },
         "High_like":{
             "class":"KwaiYORNDataset",