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@@ -3,17 +3,28 @@ language:
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  - fr
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  license: cc-by-sa-4.0
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  size_categories:
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- - 10K<n<100K
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  task_categories:
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  - fill-mask
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # orange_sum_fr_prompt_fill_mask
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  ## Summary
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- **orange_sum_fr_prompt_fill_mask** 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 fill mask task.
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  The original data (without prompts) comes from the dataset [orange_sum](https://huggingface.co/datasets/orange_sum) by Eddine et al.
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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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@@ -51,8 +62,10 @@ A list of prompts (see below) was then applied in order to build the input and t
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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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  - fr
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  license: cc-by-sa-4.0
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  size_categories:
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+ - 100K<n<1M
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  task_categories:
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  - fill-mask
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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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+ - orange_sum
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  ---
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  # orange_sum_fr_prompt_fill_mask
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  ## Summary
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+ **orange_sum_fr_prompt_fill_mask** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).
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+ It contains **585,624** rows that can be used for a fill mask task.
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  The original data (without prompts) comes from the dataset [orange_sum](https://huggingface.co/datasets/orange_sum) by Eddine et al.
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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 513,624 samples
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+ - `valid` with 36,000 samples
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+ - `test` with 36,000 samples
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+
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  # How to use?