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  ## Summary
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  **newsquadfr_fr_prompt_question_generation_with_answer_and_context** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).
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- It contains **X** rows that can be used for a question generation (with answer and context) task.
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  The original data (without prompts) comes from the dataset [newsquadfr](https://huggingface.co/datasets/lincoln/newsquadfr) and was augmented by questions in SQUAD 2.0 format in the [FrenchQA]( https://huggingface.co/datasets/CATIE-AQ/frenchQA) dataset.
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  A list of prompts (see below) was then applied in order to build the input and target columns and thus obtain the same format as the [xP3](https://huggingface.co/datasets/bigscience/xP3) dataset by Muennighoff et al.
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  # Splits
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- - `train` with X samples
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- - `valid` with Y samples
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  - no `test` split
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  ## Summary
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  **newsquadfr_fr_prompt_question_generation_with_answer_and_context** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).
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+ It contains **88,410** rows that can be used for a question generation (with answer and context) task.
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  The original data (without prompts) comes from the dataset [newsquadfr](https://huggingface.co/datasets/lincoln/newsquadfr) and was augmented by questions in SQUAD 2.0 format in the [FrenchQA]( https://huggingface.co/datasets/CATIE-AQ/frenchQA) dataset.
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  A list of prompts (see below) was then applied in order to build the input and target columns and thus obtain the same format as the [xP3](https://huggingface.co/datasets/bigscience/xP3) dataset by Muennighoff et al.
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  # Splits
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+ - `train` with 69,300 samples
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+ - `valid` with 19,100 samples
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  - no `test` split
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