fix

README.md

@@ -94,7 +94,8 @@ A video as above will be generated and saved under ```data/demo_result/```.
 ## Data Preparation
 
 We experimented on two skeleton-based action recognition datasts: **Kinetics-skeleton** and **NTU RGB+D**. The experiments on NTU RGB+D
-is not currently supported in this new version.
+is not currently supported in this new version. You can switch to the old version [v0.1.0](https://github.com/yysijie/st-gcn/tree/v0.1.0)
+to acquire the full experimental setting.
 
 ### Kinetics-skeleton
 [Kinetics](https://deepmind.com/research/open-source/open-source-datasets/kinetics/) is a video-based dataset for action recognition which only provide raw video clips without skeleton data. Kinetics dataset include To obatin the joint locations, we first resized all videos to the resolution of 340x256 and converted the frame rate to 30 fps.  Then, we extracted skeletons from each frame in Kinetics by [Openpose](https://github.com/CMU-Perceptual-Computing-Lab/openpose). The extracted skeleton data we called **Kinetics-skeleton**(7.5GB) can be directly downloaded from [GoogleDrive](https://drive.google.com/open?id=1SPQ6FmFsjGg3f59uCWfdUWI-5HJM_YhZ) or [BaiduYun](https://pan.baidu.com/s/1dwKG2TLvG-R1qeIiE4MjeA#list/path=%2FShare%2FAAAI18%2Fkinetics-skeleton&parentPath=%2FShare).