Update README.md

README.md

@@ -67,13 +67,13 @@ English.
 
 ## Dataset Structure
 ### Data Fields
-A: datasets.Image() - the first input image, **A**:A'  
-A': datasets.Image() - the second input image, different from A' in a single key, A:**A'**.
-B: datasets.Image() - the third input image, has the same different item as A, **B**:B'.
-B': datasets.Image() - the forth image, which is the analogy solution. Different from B' in a single key (the same different one as in A:A'),  B:**B'**. Hidden in the test set. 
-candidates_images: [datasets.Image()] - a list of candidate images solutions to the analogy.
-label: datasets.Value("int64") - the index of the ground-truth solution. Hidden in the test set.
-candidates: [datasets.Value("string")] - a list of candidate string solutions to the analogy.
+A: datasets.Image() - the first input image, **A**:A'.     
+A': datasets.Image() - the second input image, different from A in a single key, A:**A'**.  
+B: datasets.Image() - the third input image, has the same different item as A, **B**:B'.  
+B': datasets.Image() - the forth image, which is the analogy solution. Different from B in a single key (the same different one as in A:A'),  B:**B'**. Hidden in the test set.  
+candidates_images: [datasets.Image()] - a list of candidate images solutions to the analogy.  
+label: datasets.Value("int64") - the index of the ground-truth solution. Hidden in the test set.  
+candidates: [datasets.Value("string")] - a list of candidate string solutions to the analogy.  
 
 ### Data Splits
 There are three splits, TRAIN, VALIDATION, and TEST.