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@@ -4,17 +4,28 @@ language:
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  license:
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  - cc-by-nc-sa-3.0
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  size_categories:
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- - 10K<n<100K
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  task_categories:
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  - text-generation
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # fquad_fr_prompt_context_generation_with_answer_and_question
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  ## Summary
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- **fquad_fr_prompt_context_generation_with_answer_and_question** is a subset of the [**Dataset of French Prompts (DFP)**]().
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- It contains **48,069** rows that can be used for a context-generation (with answer and question) task.
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  The original data (without prompts) comes from the dataset [FQuAD]( https://huggingface.co/datasets/fquad) by d'Hoffschmidt et al. 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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  As FQuAD's license does not allow data to be shared, we simply share the prompts used, so that users can recreate the dataset themselves in the same format as the [xP3](https://huggingface.co/datasets/bigscience/xP3) dataset by Muennighoff et al.
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@@ -47,10 +58,10 @@ As FQuAD's license does not allow data to be shared, we simply share the prompts
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  ```
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-
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  # Splits
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- - train with 48,069 samples
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- - no valid and test splits in the original data
 
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  # How to use?
 
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  license:
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  - cc-by-nc-sa-3.0
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  size_categories:
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+ - 100k<n<1M
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  task_categories:
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  - text-generation
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+ tags:
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+ - DFP
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+ - french prompts
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+ annotations_creators:
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+ - found
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+ language_creators:
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+ - found
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+ multilinguality:
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+ - monolingual
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+ source_datasets:
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+ - fquad
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  ---
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  # fquad_fr_prompt_context_generation_with_answer_and_question
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  ## Summary
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+ **fquad_fr_prompt_context_generation_with_answer_and_question** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).
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+ It contains **502,299** rows that can be used for a context-generation (with answer and question) task.
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  The original data (without prompts) comes from the dataset [FQuAD]( https://huggingface.co/datasets/fquad) by d'Hoffschmidt et al. 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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  As FQuAD's license does not allow data to be shared, we simply share the prompts used, so that users can recreate the dataset themselves in the same format as the [xP3](https://huggingface.co/datasets/bigscience/xP3) dataset by Muennighoff et al.
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  ```
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  # Splits
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+ - `train` with 435,351 samples
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+ - `valid` with 66,948 samples
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+ - no test split
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  # How to use?