A dataset for training a model to predict the answer type of a given natural language question.
The CWQAT dataset contains 31158 question/answer-type (QAT) pairs and can be split into two parts:
- qat_train: There are 27639 QAT pairs for model training.
- qat_test: There are 3518 QAT pairs for testing the performance of model.