BoolQ is a question answering dataset for yes/no questions containing 15942 examples. These questions are naturally occurring ---they are generated in ...

BoolQ is a question answering dataset for yes/no questions containing 15942 examples. These questions are naturally occurring – they are generated in ...

BoolQ is a question answering dataset for yes/no questions containing 15942 examples. These questions are naturally occurring.

24 мая 2019 г. · In this paper we study yes/no questions that are naturally occurring --- meaning that they are generated in unprompted and unconstrained settings.

Abstract. In this paper we study yes/no questions that are naturally occurring — meaning that they are generated in unprompted and unconstrained settings.

The current state-of-the-art on BoolQ is Gemma-7B. See a full comparison of 64 papers with code.

BoolQ is a question answering dataset for yes/no questions containing 15942 examples. These questions are naturally occurring ---they are generated in ...

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This work provides a simple and effective method to improve the model's inferring ability on Natural YES/NO Question and results on dataset BoolQ show this ...

It contains a set of tools to convert PyTorch or TensorFlow 2.0 trained Transformer models (currently contains GPT-2 , DistilGPT-2 , BERT , and DistilBERT ) to ...