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README.md

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+---
+###Datasets:
+- squad_v2 (with the removal of unanswerable questions)
+
+###Question-generation
+Input text in the following format:
+- text: "\<hl> 42 \<hl> is the answer to life, the universe and everything. </s>"
+- text: "Python is a programming language. It is developed by \<hl> Guido Van Rossum \<hl>. </s>"
+- text: "Although \<hl> practicality \<hl> beats purity \</s>"
+
+---
+
+### T5 for question-generation
+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. 
+
+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
+
+`<hl> 42 <hl> is the answer to life, the universe and everything. </s>`
+
+For more deatils see [this](https://github.com/patil-suraj/question_generation) repo.