Update src/about.py

src/about.py

@@ -67,7 +67,7 @@ We use our own framework to evaluate the models on the following benchmarks (TO
 
 For all these evaluations, a higher score is a better score.
 
-We use the given *test* subset (for thsoe who also have *train* and *dev* subsets) for all these evaluations.
+We use the given *test* subset (for those benchmarks that also have *train* and *dev* subsets) for all these evaluations.
 
 We chose these benchmarks for now, but several other benchmarks are going to be added later to help us perform a more thorough examination of models.
 
@@ -76,7 +76,7 @@ We argue that this is indeed a fair evaluation scheme since many light-weight mo
 in small shots (or have a small knowledge capacity and perform poorly in zero-shot). We wish to not hold this against the model by trying to measure performances in different settings and take the maximum score achieved .
 
 ## REPRODUCIBILITY
-The parameters used for evaluation along with instructions and prompts will be available once the framework is release. (TO BE COMPLETED)
+The parameters used for evaluation along with instructions and prompts will be available once the framework is released. (TO BE COMPLETED)
 """
 
 EVALUATION_QUEUE_TEXT = """