Update README.md

README.md

@@ -4,19 +4,29 @@ language:
 license:
 - other
 size_categories:
-- 10K<n<100K
+- 100K<n<1M
 task_categories:
 - text-generation
 tags:
 - paraphrase-generation
+- DFP
+- french prompts
+annotations_creators:
+- found
+language_creators:
+- found
+multilinguality:
+- monolingual
+source_datasets:
+- paws-x
 ---
 
 # paws-x_fr_prompt_paraphrase_generation
 ## Summary
 
-**paws-x_fr_prompt_paraphrase_generation** is a subset of the [**Dataset of French Prompts (DFP)**]().
-It contains **X** rows that can be used for a paraphrase generation task.
-The original data (without prompts) comes from the dataset [paws-x](https://huggingface.co/datasets/paws-x) by Yang et al. where only the French part has been kept.
+**paws-x_fr_prompt_paraphrase_generation** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).  
+It contains **566,208** rows that can be used for a paraphrase generation task.  
+The original data (without prompts) comes from the dataset [paws-x](https://huggingface.co/datasets/paws-x) by Yang et al. where only the French part has been kept.  
 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.
 
 
@@ -62,9 +72,9 @@ targets = paws_x['train'][i]['sentence2']
 
 
 # Splits
-- train with X samples
-- dev with Y samples
-- test with Z samples
+- `train` with 523,896 samples
+- `valid` with 21,672 samples
+- `test` with 20,640 samples
 
 
 # How to use?