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@@ -3,7 +3,7 @@ language:
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  - fr
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  license: apache-2.0
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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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  tags:
@@ -24,7 +24,7 @@ source_datasets:
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  ## Summary
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  **squad_v2_french_translated_fr_prompt_question_generation_with_context** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).
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- It contains **79,200** rows that can be used for a question-generation (with context) task.
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  The original data (without prompts) comes from the dataset [pragnakalp/squad_v2_french_translated](https://huggingface.co/datasets/pragnakalp/squad_v2_french_translated) 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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@@ -61,7 +61,7 @@ A list of prompts (see below) was then applied in order to build the input and t
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  ```
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  # Splits
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- - `train` with 79,200 samples
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  - no `valid` split
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  - no `test` split
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  - fr
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  license: apache-2.0
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  size_categories:
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+ - 1M<n<10M
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  task_categories:
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  - text-generation
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  tags:
 
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  ## Summary
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  **squad_v2_french_translated_fr_prompt_question_generation_with_context** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).
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+ It contains **3,795,312** rows that can be used for a question-generation (with context) task.
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  The original data (without prompts) comes from the dataset [pragnakalp/squad_v2_french_translated](https://huggingface.co/datasets/pragnakalp/squad_v2_french_translated) 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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  ```
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  # Splits
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+ - `train` with 3,795,312 samples
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  - no `valid` split
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  - no `test` split
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