Update README.md

README.md

@@ -119,7 +119,7 @@ In other words, each example occupies the full input sequence length.
 
 # Evaluation
 
-For testing, we reserved the translated datasets MRPC (similarity) and RTE (inference), from GLUE, and COPA (reasoning/qa), from SuperGLUE, which were taking as representatives of three major types of tasks, and were not seen during training.
+For testing, we reserved the translated datasets MRPC (similarity) and RTE (inference), from GLUE, and COPA (reasoning/qa), from SuperGLUE, which were taken as representatives of three major types of tasks, and were not seen during training.
 We also employ data augmentation techniques to enhance the size and diversity of our dataset.
 This involves repurposing the tasks in various ways, such as generation of answers from MultiRC, question generation from BoolQ, and other relevant modifications.