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  ---
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  license: cc-by-4-0
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- pretty_name: FQuAD for question generation
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- languages: fr
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  multilinguality: monolingual
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  size_categories: 10K<n<100K
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- source_datasets: fquad
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  task_categories: question-generation
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  task_ids: question-generation
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  ---
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- # Dataset Card for "qg_frquad"
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  ## Table of Contents
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  - [Dataset Description](#dataset-description)
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  - **Point of Contact:** [Asahi Ushio](http://asahiushio.com/)
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  ### Dataset Summary
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- Modified version of [FQuAD](https://huggingface.co/datasets/fquad) for question generation (QG) task.
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  Since the original dataset only contains training/validation set, we manually sample test set from training set, which
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  has no overlap in terms of the paragraph with the training set.
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  Success on this task is typically measured by achieving a high BLEU4/METEOR/ROUGE-L score.
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  ### Languages
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- French (fr)
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  ## Dataset Structure
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  ### Data Instances
 
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  ---
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  license: cc-by-4-0
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+ pretty_name: SQuAD-es for question generation
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+ languages: es
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  multilinguality: monolingual
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  size_categories: 10K<n<100K
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+ source_datasets: squad_es
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  task_categories: question-generation
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  task_ids: question-generation
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  ---
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+ # Dataset Card for "qg_esquad"
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  ## Table of Contents
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  - [Dataset Description](#dataset-description)
 
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  - **Point of Contact:** [Asahi Ushio](http://asahiushio.com/)
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  ### Dataset Summary
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+ Modified version of [SQuAD-es](https://huggingface.co/datasets/squad_es) for question generation (QG) task.
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  Since the original dataset only contains training/validation set, we manually sample test set from training set, which
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  has no overlap in terms of the paragraph with the training set.
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  Success on this task is typically measured by achieving a high BLEU4/METEOR/ROUGE-L score.
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  ### Languages
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+ Spanish (es)
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  ## Dataset Structure
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  ### Data Instances