Fixed description

token_edit_distance.py

@@ -5,9 +5,10 @@ from Levenshtein import distance as lev_dist
 
 
 _DESCRIPTION = """
-TokenEditDistance: NLP string-based evaluation metric that records the minimum number of token edits (insertions, deletions, and
-replacements) to the input string in order to make it exactly match the reference string. Uses identical logic to Levenshtein Edit Distance,
-except applied to tokens as opposed to
+TokenEditDistance: This is an NLP evaluation metric that records the minimum number of token edits 
+(insertions, deletions, and replacements, all weighted equally) to the prediction string in order 
+to make it exactly match the reference string. Uses identical logic to Levenshtein Edit Distance, 
+except applied to tokens (i.e. individual ints in a list) as opposed to individual characters in a string.
 """
 
 _CITATION = "Man of a thousand and eight names"