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Question-Generation-Multitask-Korquad

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	# Question Generation Model with KorQuAD
	___

	This model is a fine-tuend version of paust/pko-t5-base on the KorQuAD v1.0 Dataset.

	### Dataset
	KorQuAD v1.0 Dataset (csv)
	[Train](https://drive.google.com/file/d/1p0LYPBQE8OW6XRFEW5nxc8P03wgD_plE/view?usp=sharing)
	[Valid](https://drive.google.com/file/d/1O0-8BCsYn3PpEmIUjiEBnPz4sBBmQmud/view?usp=sharing)

	### Train

	30% 확률로 input answer 대신 '[MASK]'를 넣어 질문 문장을 생성하도록 학습한다.
	그 결과, input answer가 없을 때도 적절히 answer을 찾아 질문을 생성할 수 있다.

	### Question Generation without Input Answer

	```python
	context = """ CONTEXT """
	input_answer = '[MASK]'

	generated = generate(best_model, input_answer, context)

	show_result(generated)
	```

	### References
	____
	Leaf-Question-Generation :https://github.com/KristiyanVachev/Leaf-Question-Generation
	pko-t5-base : https://huggingface.co/paust/pko-t5-base
	KorQuAD v1.0 : https://korquad.github.io/KorQuad%201.0/