Update README.md

README.md

 # DASTM
 The official implementation of ECCV22 paper "Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition"
 
-# environment
+# Environment
 pytorch=1.7
 python=3.8.10
 tqdm=4.54.1
 pynvml=8.0.4
 
-# dataset
+# Datasets
 Due to the oversize dataset（ beyond maximum limitation 100M, please download the public NTU RGB+D 120 dataset or use our subset when the work is accepted.
 
-# run
+# Run
 
-## run train.py with full model(DASTM (full), 5-way-1-shot, STGCN, on NTU RGB+D 120). 
+## Run train.py with full model(DASTM (full), 5-way-1-shot, STGCN, on NTU RGB+D 120). 
     python train.py --SA 1 --reg 0.1
 
-## run train.py with default parameters(DASTM w/ RankMax, 5-way-1-shot, STGCN, on NTU RGB+D 120). 
+## Run train.py with default parameters(DASTM w/ RankMax, 5-way-1-shot, STGCN, on NTU RGB+D 120). 
     python train.py --SA 0 --reg 0.1
 
-## run train.py with spatial activation(DASTM w/ SA, 5-way-1-shot, STGCN, on NTU RGB+D 120). 
+## Run train.py with spatial activation(DASTM w/ SA, 5-way-1-shot, STGCN, on NTU RGB+D 120). 
     python train.py --SA 1 --reg 0