Update README.md

README.md

@@ -75,12 +75,12 @@ def preprocess(example, tokenizer, score_fn):
     max_ply = len(example['moves']) 
     pick_random_move = random.randint(0, max_ply-2)
 
-    # Get the FEN, move and score for our random choice.
+    # Get the FEN for our random choice.
     fen = example['fens'][pick_random_move]
 
-    # We add +1 to the index to select the next candidate move.
-    # Same with the score, which is the evaluation of this move.
-    # Please read the section about the data format clearly!
+    # To get the move that leads to the *next* FEN, we have to add
+    # +1 to the index. Same with the score, which is the evaluation
+    # of that move. Please read the section about the data format clearly!
     move = example['moves'][pick_random_move + 1]
     score = example['scores'][pick_random_move + 1]
 
@@ -132,14 +132,14 @@ def score_fn(score):
 def preprocess(example, tokenizer, score_fn):
     # Get number of moves made in the game.
     max_ply = len(example['moves']) 
-    pick_random_move = random.randint(0, max_ply-1)
+    pick_random_move = random.randint(0, max_ply-2)
 
-    # Get the FEN, move and score for our random choice.
+    # Get the FEN for our random choice.
     fen = example['fens'][pick_random_move]
 
-    # We add +1 to the index to select the next candidate move.
-    # Same with the score, which is the evaluation of this move.
-    # Please read the section about the data format clearly!
+    # To get the move that leads to the *next* FEN, we have to add
+    # +1 to the index. Same with the score, which is the evaluation
+    # of that move. Please read the section about the data format clearly!
     move = example['moves'][pick_random_move + 1]
     score = example['scores'][pick_random_move + 1]