update README

README.md

@@ -59,7 +59,7 @@ Downloading builder script: 100%|███████████████
 The [Expectation-Adjusted-Distinct paper](https://aclanthology.org/2022.acl-short.86) (Liu and Sabour et al. 2022) compares Expectation-Adjusted-Distinct scores of ten different methods with the original Distinct. These scores get higher human correlation from 0.56 to 0.65.
 
 ### Examples
-Example of calculate Expectation-Adjusted-Distinct byy giving voab_size or data for calculating vocab_size. This will also return Distinct-1,2,and 3.
+Example of calculating Expectation-Adjusted-Distinct, given either voab_size or data for vocab_size calculation. Besides returning Expectation-Adjusted-Distinct, this mode will also return Distinct-1, 2, and 3.
 ```python
     >>> my_new_module = evaluate.load("lsy641/distinct")
     >>> results = my_new_module.compute(references=["Hi.", "I'm sorry to hear that", "I don't know"], vocab_size=50257)
@@ -73,7 +73,7 @@ Example of calculate Expectation-Adjusted-Distinct byy giving voab_size or data
 ```
 
 
-Example of calculate original Distinct. This will return Distinct-1,2,and 3.
+Example of calculating original Distinct. This will return Distinct-1,2,and 3.
 ```python
     >>> my_new_module = evaluate.load("lsy641/distinct")   
     >>> results = my_new_module.compute(references=["Hi.", "I'm sorry to hear that", "I don't know"], mode="Distinct")