[Fix] Update dataset mim downloading source to OpenXLab (#3266)

dataset-index.yml

@@ -1,79 +1,80 @@
+openxlab: true
 ade20k:
-  dataset: ADE20K_2016
+  dataset: OpenDataLab/ADE20K_2016
   download_root: data
   data_root: data/ade
 
 cityscapes:
-  dataset: CityScapes
+  dataset: OpenDataLab/CityScapes
   download_root: data
   data_root: data/cityscapes
 
 voc2012:
-  dataset: PASCAL_VOC2012
+  dataset: OpenDataLab/PASCAL_VOC2012
   download_root: data
   data_root: data/VOCdevkit/VOC2012
 
 cocostuff:
-  dataset: COCO-Stuff
+  dataset: OpenDataLab/COCO-Stuff
   download_root: data
   data_root: data/coco_stuff164k
 
 mapillary:
-  dataset: Mapillary
+  dataset: OpenDataLab/Mapillary
   download_root: data
   data_root: data/mapillary
 
 pascal_context:
-  dataset: VOC2010
+  dataset: OpenDataLab/VOC2010
   download_root: data
   data_root: data/VOCdevkit/VOC2010
 
 isaid:
-  dataset: iSAID
+  dataset: OpenDataLab/iSAID
   download_root: data
   data_root: data/iSAID
 
 isprs_potsdam:
-  dataset: ISPRS_Potsdam
+  dataset: OpenDataLab/ISPRS_Potsdam
   download_root: data
   data_root: data/potsdam
 
 loveda:
-  dataset: LoveDA
+  dataset: OpenDataLab/LoveDA
   download_root: data
   data_root: data/loveDA
 
 chase_db1:
-  dataset: CHASE_DB1
+  dataset: OpenDataLab/CHASE_DB1
   download_root: data
   data_root: data/CHASE_DB1
 
 drive:
-  dataset: DRIVE
+  dataset: OpenDataLab/DRIVE
   download_root: data
   data_root: data/DRIVE
 
 hrf:
-  dataset: HRF
+  dataset: OpenDataLab/HRF
   download_root: data
   data_root: data/HRF
 
 stare:
-  dataset: STARE
+  dataset: OpenDataLab/STARE
   download_root: data
   data_root: data/STARE
 
 synapse:
-  dataset: SurgVisDom
+  dataset: OpenDataLab/SurgVisDom
   download_root: data
   data_root: data/synapse
 
 refuge:
-  dataset: REFUGE_Challenge
+  dataset: OpenDataLab/REFUGE_Challenge
   download_root: data
   data_root: data/REFUGE
 
 lip:
-  dataset: LIP
+  dataset: OpenDataLab/LIP
   download_root: data
   data_root: data/LIP

docs/en/user_guides/2_dataset_prepare.md

@@ -200,6 +200,25 @@ mmsegmentation
 |   │   │   │   │   └──sem_seg_val.json
 ```
 
+## Download dataset via MIM
+
+By using [OpenXLab](https://openxlab.org.cn/datasets), you can obtain free formatted datasets in various fields. Through the search function of the platform, you may address the dataset they look for quickly and easily. Using the formatted datasets from the platform, you can efficiently conduct tasks across datasets.
+
+If you use MIM to download, make sure that the version is greater than v0.3.8. You can use the following command to update, install, login and download the dataset:
+
+```shell
+# upgrade your MIM
+pip install -U openmim
+
+# install OpenXLab CLI tools
+pip install -U openxlab
+# log in OpenXLab
+openxlab login
+
+# download ADE20K by MIM
+mim download mmsegmentation --dataset ade20k
+```
+
 ## Cityscapes
 
 The data could be found [here](https://www.cityscapes-dataset.com/downloads/) after registration.

docs/zh_cn/user_guides/2_dataset_prepare.md

@@ -200,6 +200,25 @@ mmsegmentation
 |   │   │   │   │   └──sem_seg_val.json
 ```
 
+## 用 MIM 下载数据集
+
+通过使用 [OpenXLab](https://openxlab.org.cn/datasets)，您可以直接下载开源数据集。通过平台的搜索功能，您可以快速轻松地找到他们正在寻找的数据集。使用平台上的格式化数据集，您可以高效地跨数据集执行任务。
+
+如果您使用 MIM 下载，请确保版本大于 v0.3.8。您可以使用以下命令进行更新、安装、登录和数据集下载：
+
+```shell
+# upgrade your MIM
+pip install -U openmim
+
+# install OpenXLab CLI tools
+pip install -U openxlab
+# log in OpenXLab
+openxlab login
+
+# download ADE20K by MIM
+mim download mmsegmentation --dataset ade20k
+```
+
 ## Cityscapes
 
 Cityscapes [官方网站](https://www.cityscapes-dataset.com/)可以下载 Cityscapes 数据集，按照官网要求注册并登陆后，数据可以在[这里](https://www.cityscapes-dataset.com/downloads/)找到。