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Staged Query Graph Generation based on Answer Type for Question Answering over Knowledge Base

A dataset for training a model to predict the answer type of a given natural language question.

Splits

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.

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