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Update README.md

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@@ -29,11 +29,23 @@ The QG models can be used with <a href="https://pypi.org/project/lmqg">`lmqg`</a
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  question_answer = model.generate_qa(context)
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  print(question_answer)
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  [
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- ('Who was an English painter who specialised in watercolour landscapes?', 'William Turner'),
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- ("What was William Turner's nickname?", 'William Turner of Oxford'),
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- ("What did many of Turner's paintings depict around Oxford?", 'countryside'),
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- ("What is one of William Turner's best known paintings?", 'a view of the city of Oxford')
 
 
 
 
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  ]
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  </code>
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  </pre>
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  question_answer = model.generate_qa(context)
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  print(question_answer)
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  [
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+ ('Who was an English painter who specialised in watercolour landscapes?',
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+ 'William Turner'),
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+ ("What was William Turner's nickname?",
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+ 'William Turner of Oxford'),
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+ ("What did many of Turner's paintings depict around Oxford?",
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+ 'countryside'),
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+ ("What is one of William Turner's best known paintings?",
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+ 'a view of the city of Oxford')
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  ]
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  </code>
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  </pre>
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+ See more information bellow.
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+ <ul>
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+ <li>&nbsp; - lmqg: <a href="https://github.com/asahi417/lm-question-generation">https://github.com/asahi417/lm-question-generation</a></li>
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+ <li>&nbsp; - QG-Bench: <a href="https://github.com/asahi417/lm-question-generation/blob/master/QG_BENCH.md#datasets">https://github.com/asahi417/lm-question-generation/blob/master/QG_BENCH.md#datasets</a></li>
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+ <li>&nbsp; - Paper (EMNLP 2022): <a href="https://arxiv.org/abs/2210.03992">https://arxiv.org/abs/2210.03992</a></li>
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+ </ul>
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+
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+