Provide dataset links

README.md

@@ -17,6 +17,38 @@ cd ../..
 ```
 
 ## Preparation
+- download all datasets
+  - [3DPW](https://virtualhumans.mpi-inf.mpg.de/3DPW/)
+  - [AGORA](https://agora.is.tue.mpg.de/index.html)       
+  - [ARCTIC](https://arctic.is.tue.mpg.de/)      
+  - [BEDLAM](https://bedlam.is.tue.mpg.de/index.html)      
+  - [BEHAVE](https://github.com/xiexh20/behave-dataset)      
+  - [CHI3D](https://ci3d.imar.ro/)       
+  - [CrowdPose](https://github.com/Jeff-sjtu/CrowdPose)   
+  - [EgoBody](https://sanweiliti.github.io/egobody/egobody.html)     
+  - [EHF](https://smpl-x.is.tue.mpg.de/index.html)         
+  - [FIT3D](https://fit3d.imar.ro/)                
+  - [GTA-Human](https://caizhongang.github.io/projects/GTA-Human/)           
+  - [Human3.6M](http://vision.imar.ro/human3.6m/description.php)             
+  - [HumanSC3D](https://sc3d.imar.ro/)            
+  - [InstaVariety](https://github.com/akanazawa/human_dynamics/blob/master/doc/insta_variety.md)         
+  - [LSPET](http://sam.johnson.io/research/lspet.html)                
+  - [MPII](http://human-pose.mpi-inf.mpg.de/)                 
+  - [MPI-INF-3DHP](https://vcai.mpi-inf.mpg.de/3dhp-dataset/)         
+  - [MSCOCO](https://cocodataset.org/#home)               
+  - [MTP](https://tuch.is.tue.mpg.de/)                    
+  - [MuCo-3DHP](https://vcai.mpi-inf.mpg.de/projects/SingleShotMultiPerson/)                   
+  - [OCHuman](https://github.com/liruilong940607/OCHumanApi)                
+  - [PoseTrack](https://posetrack.net/)                
+  - [PROX](https://prox.is.tue.mpg.de/)                   
+  - [RenBody](https://magichub.com/datasets/openxd-renbody/)
+  - [RICH](https://rich.is.tue.mpg.de/index.html)
+  - [SPEC](https://spec.is.tue.mpg.de/index.html)
+  - [SSP3D](https://github.com/akashsengupta1997/SSP-3D)
+  - [SynBody](https://maoxie.github.io/SynBody/)
+  - [Talkshow](https://talkshow.is.tue.mpg.de/)
+  - [UBody](https://github.com/IDEA-Research/OSX)
+  - [UP3D](https://files.is.tuebingen.mpg.de/classner/up/)
 - process all datasets into [HumanData](https://github.com/open-mmlab/mmhuman3d/blob/main/docs/human_data.md) format, except the following:
   - AGORA, MSCOCO, MPII, Human3.6M, UBody
 - follow [OSX](https://github.com/IDEA-Research/OSX) in preparing pretrained ViT-Pose models.