Update README.md

README.md

@@ -4,19 +4,29 @@ language:
 license:
 - other
 size_categories:
-- 10K<n<100K
+- 1M<n<10M
 task_categories:
 - text-classification
 tags:
 - paraphrase-detection
+- DFP
+- french prompts
+annotations_creators:
+- found
+language_creators:
+- found
+multilinguality:
+- monolingual
+source_datasets:
+- paws-x
 ---
 
 # paws-x_fr_prompt_paraphrase_detection
 ## Summary
 
-**paws-x_fr_prompt_paraphrase_detection** is a subset of the [**Dataset of French Prompts (DFP)**]().
-It contains **X** rows that can be used for a paraphrase detection 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_detection** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).  
+It contains **1,174,822** rows that can be used for a paraphrase detection 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.
 
 
@@ -60,9 +70,9 @@ targets = str(paws_x['train'][i]['label']).replace('0','Non').replace('1','Oui')
 
 
 # Splits
-- train with X samples
-- dev with Y samples
-- test with Z samples
+- `train` with 1,086,822 samples
+- `valid` with 44,000 samples
+- `test` with 44,000 samples
 
 
 # How to use?