diff --git a/DATASET_ZOO.md b/DATASET_ZOO.md
index fc03a0c..5ef960c 100644
--- a/DATASET_ZOO.md
+++ b/DATASET_ZOO.md
@@ -1,9 +1,9 @@
 # Dataset Zoo
 We provide several relevant datasets for training and evaluating the Joint Detection and Embedding (JDE) model. 
 Annotations are provided in a unified format. If you want to use these datasets, please **follow their licenses**, 
-and if you use these datasets in your research, please cite the original work (you can find the BibTeX in the bottom).
+and if you use any of these datasets in your research, please cite the original work (you can find the BibTeX in the bottom).
 ## Data Format
-All the dataset has the following structure:
+All the datasets have the following structure:
 ```
 Caltech
    |——————images
@@ -15,10 +15,10 @@ Caltech
             |—————— ...
             └——————0000N.txt
 ```
-Every image corresponds to an annotation text. Given an image path, 
-the annotation text path can be easily generated by replacing the string `images` with `labels_with_ids` and replacing `.jpg` with `.txt`.
+Every image has a corresponding annotation text. Given an image path, 
+the annotation text path can be generated by replacing the string `images` with `labels_with_ids` and replacing `.jpg` with `.txt`.
 
-In the annotation text, each line is a bounding box and has the following format,
+In the annotation text, each line is describing a bounding box and has the following format:
 ```
 [class] [identity] [x_center] [y_center] [width] [height]
 ```
@@ -26,7 +26,7 @@ The field `[class]` should be `0`. Only single-class multi-object tracking is su
 
 The field `[identity]` is an integer from `0` to `num_identities - 1`, or `-1` if this box has no identity annotation.
 
-***Note** that the values of `[x_center] [y_center] [width] [height]` are normalized by the width/height of the image, so they are float numbers ranging from 0 to 1.
+***Note** that the values of `[x_center] [y_center] [width] [height]` are normalized by the width/height of the image, so they are floating point numbers ranging from 0 to 1.
 
 ## Download
 
@@ -41,8 +41,8 @@ Baidu NetDisk:
 [[6]](https://pan.baidu.com/s/1sDjhtgdFrzR60KKxSjNb2A)
 [[7]](https://pan.baidu.com/s/18Zvp_d33qj1pmutFDUbJyw)
 
-Google Drive: [[annotation]](https://drive.google.com/file/d/1h8vxl_6tgi9QVYoer9XcY9YwNB32TE5k/view?usp=sharing) , 
-please download all the `.tar` file from [this page](http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/datasets/USA/) and unzip the images under `Caltech/images`
+Google Drive: [[annotations]](https://drive.google.com/file/d/1h8vxl_6tgi9QVYoer9XcY9YwNB32TE5k/view?usp=sharing) , 
+please download all the images `.tar` files from [this page](http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/datasets/USA/) and unzip the images under `Caltech/images`
 
 Original dataset webpage: [CaltechPedestrians](http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/)
 ### CityPersons