ClarQ: A large-scale and diverse dataset for Clarification Question Generation
Table 1: Performance of the classifier on the annotated test set at the end of each iteration of the down-sampling procedure.
['[BOLD] Iteration', '[BOLD] Precision', '[BOLD] Recall', '[BOLD] F1']
It can be clearly observed that the precision of the classifier increases with each iteration. Even though there is a substantial decline in recall, the down-sampling procedure helps in increasing the overall precision.