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  ---
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  license: cc-by-sa-4.0
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  pretty_name: SQuAD for question generation
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- language: en
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  multilinguality: monolingual
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  size_categories: 1k<n<10K
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- source_datasets: tweet_qa
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  task_categories:
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  - text-generation
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  task_ids:
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  - question-generation
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  ---
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- # Dataset Card for "lmqg/qag_squad"
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  ## Dataset Description
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  - **Point of Contact:** [Asahi Ushio](http://asahiushio.com/)
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  ### Dataset Summary
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- This is the question & answer generation dataset based on the SQuAD.
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  ### Supported Tasks and Leaderboards
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  * `question-answer-generation`: The dataset is assumed to be used to train a model for question & answer generation.
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  Success on this task is typically measured by achieving a high BLEU4/METEOR/ROUGE-L/BERTScore/MoverScore (see our paper for more in detail).
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  ### Languages
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- English (en)
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  ## Dataset Structure
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  An example of 'train' looks as follows.
 
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  ---
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  license: cc-by-sa-4.0
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  pretty_name: SQuAD for question generation
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+ language: es
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  multilinguality: monolingual
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  size_categories: 1k<n<10K
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+ source_datasets: lmqg/qg_esquad
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  task_categories:
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  - text-generation
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  task_ids:
 
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  - question-generation
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  ---
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+ # Dataset Card for "lmqg/qag_esquad"
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  ## Dataset Description
 
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  - **Point of Contact:** [Asahi Ushio](http://asahiushio.com/)
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  ### Dataset Summary
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+ This is the question & answer generation dataset based on the ESQuAD.
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  ### Supported Tasks and Leaderboards
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  * `question-answer-generation`: The dataset is assumed to be used to train a model for question & answer generation.
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  Success on this task is typically measured by achieving a high BLEU4/METEOR/ROUGE-L/BERTScore/MoverScore (see our paper for more in detail).
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  ### Languages
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+ Spanish (es)
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  ## Dataset Structure
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  An example of 'train' looks as follows.