diff --git a/docs/en/advanced_guides/customize_datasets.md b/docs/en/advanced_guides/customize_datasets.md
index aec7520a30..e0210ede19 100644
--- a/docs/en/advanced_guides/customize_datasets.md
+++ b/docs/en/advanced_guides/customize_datasets.md
@@ -171,9 +171,13 @@ train_dataloader = dict(
     batch_size=2,
     dataset=dict(
         type=dataset_type,
-        data_root='root/of/your/train/data',
-        ann_file='path/to/your/train/json',
-        data_prefix=dict(img='path/to/your/train/img'),
+        data_root='aaa',
+        # ann file is stored at {data_root}/{ann_file}
+        # e.g. aaa/annotations/xxx.json
+        ann_file='annotations/xxx.json',
+        # img is stored at {data_root}/{img}/
+        # e.g. aaa/train/c.jpg
+        data_prefix=dict(img='train'),
         metainfo=dict(from_file='configs/_base_/datasets/custom.py'),
         ...),
     )
@@ -182,9 +186,13 @@ val_dataloader = dict(
     batch_size=2,
     dataset=dict(
         type=dataset_type,
-        data_root='root/of/your/val/data',
-        ann_file='path/to/your/val/json',
-        data_prefix=dict(img='path/to/your/val/img'),
+        data_root='aaa',
+        # ann file is stored at {data_root}/{ann_file}
+        # e.g. aaa/annotations/yyy.json
+        ann_file='annotations/yyy.json',
+        # img is stored at {data_root}/{img}/
+        # e.g. aaa/val/c.jpg
+        data_prefix=dict(img='val'),
         metainfo=dict(from_file='configs/_base_/datasets/custom.py'),
         ...),
     )
@@ -193,9 +201,13 @@ test_dataloader = dict(
     batch_size=2,
     dataset=dict(
         type=dataset_type,
-        data_root='root/of/your/test/data',
-        ann_file='path/to/your/test/json',
-        data_prefix=dict(img='path/to/your/test/img'),
+        data_root='aaa',
+        # ann file is stored at {data_root}/{ann_file}
+        # e.g. aaa/annotations/zzz.json
+        ann_file='annotations/zzz.json',
+        # img is stored at {data_root}/{img}/
+        # e.g. aaa/test/c.jpg
+        data_prefix=dict(img='test'),
         metainfo=dict(from_file='configs/_base_/datasets/custom.py'),
         ...),
     )
@@ -218,8 +230,12 @@ MMPose provides [CombinedDataset](https://github.com/open-mmlab/mmpose/blob/dev-
 ```python
 dataset_1 = dict(
     type='dataset_type_1',
-    data_root='root/of/your/dataset1',
-    data_prefix=dict(img_path='path/to/your/img'),
+    data_root='aaa',
+    # ann file is stored at {data_root}/{ann_file}
+    # e.g. aaa/annotations/train.json
+    data_prefix=dict(img_path='train'),
+    # img is stored at {data_root}/{img}/
+    # e.g. aaa/train/c.jpg
     ann_file='annotations/train.json',
     pipeline=[
         # the converter transforms convert data into a unified format
@@ -228,8 +244,12 @@ dataset_1 = dict(
 
 dataset_2 = dict(
     type='dataset_type_2',
-    data_root='root/of/your/dataset2',
-    data_prefix=dict(img_path='path/to/your/img'),
+    data_root='bbb',
+    # ann file is stored at {data_root}/{ann_file}
+    # e.g. bbb/annotations/train.json
+    data_prefix=dict(img_path='train'),
+    # img is stored at {data_root}/{img}/
+    # e.g. bbb/train/c.jpg
     ann_file='annotations/train.json',
     pipeline=[
         converter_transform_2
diff --git a/docs/en/guide_to_framework.md b/docs/en/guide_to_framework.md
index 167a65d949..669eeb3410 100644
--- a/docs/en/guide_to_framework.md
+++ b/docs/en/guide_to_framework.md
@@ -171,9 +171,13 @@ train_dataloader = dict(
     batch_size=2,
     dataset=dict(
         type=dataset_type,
-        data_root='root of your train data',
-        ann_file='path to your json file',
-        data_prefix=dict(img='path to your train img'),
+        data_root='aaa',
+        # ann file is stored at {data_root}/{ann_file}
+        # e.g. aaa/annotations/train.json
+        ann_file='annotations/train.json',
+        # img is stored at {data_root}/{img}/
+        # e.g. aaa/train/c.jpg
+        data_prefix=dict(img='train'),
         # specify the new dataset meta information config file
         metainfo=dict(from_file='configs/_base_/datasets/custom.py'),
         ...),
@@ -183,9 +187,13 @@ val_dataloader = dict(
     batch_size=2,
     dataset=dict(
         type=dataset_type,
-        data_root='root of your val data',
-        ann_file='path to your val json',
-        data_prefix=dict(img='path to your val img'),
+        data_root='aaa',
+        # ann file is stored at {data_root}/{ann_file}
+        # e.g. aaa/annotations/val.json
+        ann_file='annotations/val.json',
+        # img is stored at {data_root}/{img}/
+        # e.g. aaa/val/c.jpg
+        data_prefix=dict(img='val'),
         # specify the new dataset meta information config file
         metainfo=dict(from_file='configs/_base_/datasets/custom.py'),
         ...),
diff --git a/docs/en/user_guides/prepare_datasets.md b/docs/en/user_guides/prepare_datasets.md
index be47e07b8f..9e164c1ea4 100644
--- a/docs/en/user_guides/prepare_datasets.md
+++ b/docs/en/user_guides/prepare_datasets.md
@@ -96,16 +96,20 @@ The [Customize Datasets](../advanced_guides/customize_datasets.md) guide provide
 
 - Determine the dataset class name. If you reorganize your dataset into the COCO format, you can simply use `CocoDataset` as the value for `dataset_type`. Otherwise, you will need to use the name of the custom dataset class you added.
 
-- Specify the meta information config file. MMPose 1.x employs a different strategy for specifying meta information compared to MMPose 0.x. In MMPose 1.x, users can specify the meta information config file as follows:
+- Specify the meta information config file. Suppose the path of the annotation file is `aaa/annotations/xxx.json`, and the path of imgs is `aaa/train/c.jpg`, you should specify the meta information config file as follows:
 
   ```python
   train_dataloader = dict(
       ...
       dataset=dict(
           type=dataset_type,
-          data_root='root/of/your/train/data',
-          ann_file='path/to/your/train/json',
-          data_prefix=dict(img='path/to/your/train/img'),
+          data_root='aaa',
+          # ann file is stored at {data_root}/{ann_file}
+          # e.g. aaa/annotations/xxx.json
+          ann_file='annotations/xxx.json',
+          # img is stored at {data_root}/{img}/
+          # e.g. aaa/train/c.jpg
+          data_prefix=dict(img='train'),
           # specify dataset meta information
           metainfo=dict(from_file='configs/_base_/datasets/custom.py'),
           ...),
diff --git a/docs/zh_cn/advanced_guides/customize_datasets.md b/docs/zh_cn/advanced_guides/customize_datasets.md
index 9d1db35ceb..e177b60ca2 100644
--- a/docs/zh_cn/advanced_guides/customize_datasets.md
+++ b/docs/zh_cn/advanced_guides/customize_datasets.md
@@ -175,16 +175,20 @@ dataset_info = dict(
 
 ```python
 ...
-# 自定义数据集类
+# 自定义数据集
 dataset_type = 'MyCustomDataset' # or 'CocoDataset'
 
 train_dataloader = dict(
     batch_size=2,
     dataset=dict(
         type=dataset_type,
-        data_root='root/of/your/train/data',
-        ann_file='path/to/your/train/json',
-        data_prefix=dict(img='path/to/your/train/img'),
+        data_root='aaa',
+        # 标注文件路径为 {data_root}/{ann_file}
+        # 例如： aaa/annotations/xxx.json
+        ann_file='annotations/xxx.json',
+        # 图片路径为 {data_root}/{img}/
+        # 例如： aaa/train/c.jpg
+        data_prefix=dict(img='train'),
         metainfo=dict(from_file='configs/_base_/datasets/custom.py'),
         ...),
     )
@@ -193,9 +197,13 @@ val_dataloader = dict(
     batch_size=2,
     dataset=dict(
         type=dataset_type,
-        data_root='root/of/your/val/data',
-        ann_file='path/to/your/val/json',
-        data_prefix=dict(img='path/to/your/val/img'),
+        data_root='aaa',
+        # 标注文件路径为 {data_root}/{ann_file}
+        # 例如： aaa/annotations/yyy.json
+        ann_file='annotations/yyy.json',
+        # 图片路径为 {data_root}/{img}/
+        # 例如： aaa/val/c.jpg
+        data_prefix=dict(img='val'),
         metainfo=dict(from_file='configs/_base_/datasets/custom.py'),
         ...),
     )
@@ -204,9 +212,13 @@ test_dataloader = dict(
     batch_size=2,
     dataset=dict(
         type=dataset_type,
-        data_root='root/of/your/test/data',
-        ann_file='path/to/your/test/json',
-        data_prefix=dict(img='path/to/your/test/img'),
+        data_root='aaa',
+        # 标注文件路径为 {data_root}/{ann_file}
+        # 例如： aaa/annotations/zzz.json
+        ann_file='annotations/zzz.json',
+        # 图片路径为 {data_root}/{img}/
+        # 例如： aaa/test/c.jpg
+        data_prefix=dict(img='test'),
         metainfo=dict(from_file='configs/_base_/datasets/custom.py'),
         ...),
     )
@@ -229,8 +241,12 @@ MMPose 提供了一个 [CombinedDataset](https://github.com/open-mmlab/mmpose/bl
 ```python
 dataset_1 = dict(
     type='dataset_type_1',
-    data_root='root/of/your/dataset1',
-    data_prefix=dict(img_path='path/to/your/img'),
+    data_root='aaa',
+    # 图片路径为 {data_root}/{img_path}/
+    # 例如： aaa/train/c.jpg
+    data_prefix=dict(img_path='train'),
+    # 标注文件路径为 {data_root}/{ann_file}
+    # 例如： aaa/annotations/train.json
     ann_file='annotations/train.json',
     pipeline=[
         # 使用转换器将标注信息统一为需要的格式
@@ -239,8 +255,12 @@ dataset_1 = dict(
 
 dataset_2 = dict(
     type='dataset_type_2',
-    data_root='root/of/your/dataset2',
-    data_prefix=dict(img_path='path/to/your/img'),
+    data_root='bbb',
+    # 图片路径为 {data_root}/{img_path}/
+    # 例如： bbb/train/c.jpg
+    data_prefix=dict(img_path='train'),
+    # 标注文件路径为 {data_root}/{ann_file}
+    # 例如： bbb/annotations/train.json
     ann_file='annotations/train.json',
     pipeline=[
         converter_transform_2
diff --git a/docs/zh_cn/guide_to_framework.md b/docs/zh_cn/guide_to_framework.md
index df86f8634f..4aeda2520b 100644
--- a/docs/zh_cn/guide_to_framework.md
+++ b/docs/zh_cn/guide_to_framework.md
@@ -176,9 +176,13 @@ train_dataloader = dict(
     batch_size=2,
     dataset=dict(
         type=dataset_type,
-        data_root='root of your train data',
-        ann_file='path to your json file',
-        data_prefix=dict(img='path to your train img'),
+        data_root='aaa',
+        # 标注文件路径为 {data_root}/{ann_file}
+        # 例如： aaa/annotations/train.json
+        ann_file='annotations/train.json',
+        # 图片路径为 {data_root}/{img_path}/
+        # 例如： aaa/train/c.jpg
+        data_prefix=dict(img='train'),
         # 指定对应的元信息配置文件
         metainfo=dict(from_file='configs/_base_/datasets/custom.py'),
         ...),
@@ -187,9 +191,13 @@ val_dataloader = dict(
     batch_size=2,
     dataset=dict(
         type=dataset_type,
-        data_root='root of your val data',
-        ann_file='path to your val json',
-        data_prefix=dict(img='path to your val img'),
+        data_root='aaa',
+        # 标注文件路径为 {data_root}/{ann_file}
+        # 例如： aaa/annotations/val.json
+        ann_file='annotations/val.json',
+        # 图片路径为 {data_root}/{img_path}/
+        # 例如： aaa/val/c.jpg
+        data_prefix=dict(img='val'),
         # 指定对应的元信息配置文件
         metainfo=dict(from_file='configs/_base_/datasets/custom.py'),
         ...),
diff --git a/docs/zh_cn/user_guides/prepare_datasets.md b/docs/zh_cn/user_guides/prepare_datasets.md
index 4452405819..28395c2eef 100644
--- a/docs/zh_cn/user_guides/prepare_datasets.md
+++ b/docs/zh_cn/user_guides/prepare_datasets.md
@@ -96,16 +96,20 @@ MMPose 支持多种任务和相应的数据集。你可以在 [数据集仓库](
 
 - 确定数据集类名。如果你将数据集重组为 COCO 格式，你可以简单地使用 `CocoDataset` 作为 `dataset_type` 的值。否则，你将需要使用你添加的自定义数据集类的名称。
 
-- 指定元信息配置文件。MMPose 1.x 采用了与 MMPose 0.x 不同的策略来指定元信息。在 MMPose 1.x 中，用户可以按照以下方式指定元信息配置文件：
+- 指定元信息配置文件。假设你的数据集标注文件存储路径为 `aaa/annotations/xxx.json`，图片存储路径为 `aaa/train/c.jpg`，你应该按照以下方式指定元信息配置文件：
 
   ```python
   train_dataloader = dict(
       ...
       dataset=dict(
           type=dataset_type,
-          data_root='root/of/your/train/data',
-          ann_file='path/to/your/train/json',
-          data_prefix=dict(img='path/to/your/train/img'),
+          data_root='aaa',
+          # ann file is stored at {data_root}/{ann_file}
+          # e.g. aaa/annotations/xxx.json
+          ann_file='annotations/xxx.json',
+          # img is stored at {data_root}/{img}/
+          # e.g. aaa/train/c.jpg
+          data_prefix=dict(img='train'),
           # specify dataset meta information
           metainfo=dict(from_file='configs/_base_/datasets/custom.py'),
           ...),