Update README.md
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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?',
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("What
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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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</code>
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</pre>
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See more information bellow.
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<ul>
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<li> - lmqg: <a href="https://github.com/asahi417/lm-question-generation">https://github.com/asahi417/lm-question-generation</a></li>
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<li> - 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> - 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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