Datasets:
Tasks:
Text2Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Commit
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README.md
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### Dataset Summary
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This is a modified Stanford Question Answering Dataset (SQuAD) to suit question generation with All Questions in One Line (AQOL) just like in [Transformer-based End-to-End Question Generation](https://arxiv.org/pdf/2005.01107v1.pdf)
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specifically for the T5 family of models. The prefix is `generate questions:
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### Supported Tasks and Leaderboards
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### Dataset Summary
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This is a modified Stanford Question Answering Dataset (SQuAD) to suit question generation with All Questions in One Line (AQOL) just like in [Transformer-based End-to-End Question Generation](https://arxiv.org/pdf/2005.01107v1.pdf)
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specifically for the T5 family of models. The prefix is `generate questions: ` so that the task can be unique to a trained model.
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### Supported Tasks and Leaderboards
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