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---
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datasets:
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- squadv2 (with the removal of unanswerable questions)
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tags:
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-question-generation
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widget:
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- text: "\<hl> 42 \<hl> is the answer to life, the universe and everything. \</s>"
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- text: "Python is a programming language. It is developed by \<hl> Guido Van Rossum \<hl>. \</s>"
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- text: "Although \<hl> practicality \<hl> beats purity \</s>"
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---
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### T5 for question-generation
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This is [t5-base](https://arxiv.org/abs/1910.10683) model trained for answer aware question generation task. The answer spans are highlighted within the text with special highlight tokens.
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You can play with the model using the inference API, just highlight the answer spans with `<hl>` tokens and end the text with `</s>`. For example
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`<hl> 42 <hl> is the answer to life, the universe and everything. </s>`
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For more deatils see [this](https://github.com/patil-suraj/question_generation) repo.
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