[DOC] Fix typo in MultiLabelDataset docstring (#1483)

* fix doc

* fix ci

* fix ci

* fix ci

* fix ci

docs/en/user_guides/dataset_prepare.md

@@ -348,12 +348,12 @@ The following is an example of a JSON annotation file (in this example each raw
         [
             {
                 'img_path': "xxx/xxx_0.jpg",
-                'img_label': 0,
+                'gt_label': 0,
                 ...
             },
             {
                 'img_path': "xxx/xxx_1.jpg",
-                'img_label': 1,
+                'gt_label': 1,
                 ...
             },
             ...

docs/zh_CN/user_guides/dataset_prepare.md

@@ -338,12 +338,12 @@ OpenMMLab 2.0 数据集格式规范规定，标注文件必须为 `json` 或 `ya
         [
             {
                 'img_path': "xxx/xxx_0.jpg",
-                'img_label': 0,
+                'gt_label': 0,
                 ...
             },
             {
                 'img_path': "xxx/xxx_1.jpg",
-                'img_label': 1,
+                'gt_label': 1,
                 ...
             },
             ...

mmpretrain/datasets/multi_label.py

@@ -13,7 +13,7 @@ class MultiLabelDataset(BaseDataset):
     format`.
 
     .. _OpenMMLab 2.0 style annotation format:
-        https://github.com/open-mmlab/mmengine/blob/main/docs/zh_cn/tutorials/basedataset.md
+        https://mmengine.readthedocs.io/en/latest/advanced_tutorials/basedataset.html
 
     The annotation format is shown as follows.
 
@@ -28,11 +28,11 @@ class MultiLabelDataset(BaseDataset):
             [
               {
                 "img_path": "test_img1.jpg",
-                'img_label': [0, 1],
+                'gt_label': [0, 1],
               },
               {
                 "img_path": "test_img2.jpg",
-                'img_label': [2],
+                'gt_label': [2],
               },
             ]
             ....

requirements/tests.txt

@@ -1,3 +1,3 @@
-codecov
+coverage
 interrogate
 pytest