update readme

docs/en/dataset_prepare.md

@@ -417,36 +417,6 @@ In our default setting (`patch_width`=896, `patch_height`=896,　`overlap_area`=
 
 The dataset is generated by two techniques, Naturalistic occlusion generation, Random occlusion generation. you must install face-occlusion-generation and dataset. see more guide in https://github.com/kennyvoo/face-occlusion-generation.git
 
-### KITTI-STEP
-
-After registration, the data images could be download from [KITTI-STEP](http://www.cvlibs.net/datasets/kitti/eval_step.php)
-
-You may need to follow the following structure for dataset preparation after downloading iSAID dataset.
-
-```
-│   ├── kitti_step
-│   │   ├── testing
-│   │   ├── training
-│   │   ├── panoptic_maps
-```
-
-Run the preparation script to generate label files and kitti subsets by executing
-
-```shell
-python tools/convert_datasets/kitti_step.py /path/to/kitti_step
-```
-
-After executing the script, your directory should look like
-
-```
-│   ├── kitti_step
-│   │   ├── testing
-│   │   ├── training
-│   │   ├── panoptic_maps
-│   │   ├── training_openmmlab
-│   │   ├── panoptic_maps_openmmlab
-```
-
 ## Dataset Preparation
 
 step 1