update README

distinct.py

@@ -52,10 +52,11 @@ _CITATION = """\
 
 _DESCRIPTION = """\
 Distinct metric is to calculate corpus-level diversity of language. We provide two versions of distinct score. Expectation-Adjusted-Distinct is the default one, which removes
-the biases of the original distinct score on lenthier sentences. Distinct is the original version.
+the biases of the original distinct score on lengthier sentences. Distinct is the original version.
 
 For the use of Expectation-Adjusted-Distinct, vocab_size is required.
-Please follow ACL paper https://aclanthology.org/2022.acl-short.86 for motivation and follow the rule of thumb provided by https://github.com/lsy641/Expectation-Adjusted-Distinct/blob/main/EAD.ipynb to determine the vocab_size
+
+Please follow ACL paper https://aclanthology.org/2022.acl-short.86 for motivation and follow the rules of thumb provided by https://github.com/lsy641/Expectation-Adjusted-Distinct/blob/main/EAD.ipynb to determine the vocab_size
 """
 
 
@@ -96,7 +97,6 @@ BAD_WORDS_URL = "http://url/to/external/resource/bad_words.txt"
 class distinct(evaluate.Measurement):
 
     def _info(self):
-        # TODO: Specifies the evaluate.EvaluationModuleInfo object
         return evaluate.MeasurementInfo(
             # This is the description that will appear on the modules page.
             module_type="measurement",