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- # orange_sum_fr_prompt_title_generation
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  ## Summary
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- **orange_sum_fr_prompt_title_generation** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).
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  It contains **639,521** rows that can be used for a title generation 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.
@@ -76,7 +76,7 @@ targets = orange_sum['train'][i]['summary']
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  # How to use?
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  ```
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  from datasets import load_dataset
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- dataset = load_dataset("CATIE-AQ/orange_sum_fr_prompt_title_generation")
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  ```
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  # Citation
 
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  ---
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+ # orange_sum_fr_prompt_title_generation_from_an_article
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  ## Summary
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+ **orange_sum_fr_prompt_title_generation_from_an_article** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).
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  It contains **639,521** rows that can be used for a title generation 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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  # How to use?
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  ```
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  from datasets import load_dataset
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+ dataset = load_dataset("CATIE-AQ/orange_sum_fr_prompt_title_generation_from_an_article")
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  ```
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  # Citation