Update README.md

README.md

@@ -93,10 +93,10 @@ Example where each prediction has 1 reference:
 {'bleu': 1.0, 'precisions': [1.0, 1.0, 1.0, 1.0], 'brevity_penalty': 1.0, 'length_ratio': 1.0, 'translation_length': 7, 'reference_length': 7}
 ```
 
-Example where the second prediction has 2 references:
+Example where the first prediction has 2 references:
 ```python
 >>> predictions = [
-...     ["hello there general kenobi",
+...     ["hello there general kenobi"],
 ...     ["foo bar foobar"]
 ... ]
 >>> references = [
@@ -114,7 +114,7 @@ Example with the word tokenizer from NLTK:
 >>> bleu = evaluate.load("bleu")
 >>> from nltk.tokenize import word_tokenize
 >>> predictions = [
-...     ["hello there general kenobi",
+...     ["hello there general kenobi"],
 ...     ["foo bar foobar"]
 ... ]
 >>> references = [