Update README.md

README.md

@@ -3,16 +3,27 @@ language:
 - fr
 license: cc-by-sa-4.0
 size_categories:
-- 10K<n<100K
+- 100K<n<1M
 task_categories:
 - summarization
+tags:
+- DFP
+- french prompts
+annotations_creators:
+- found
+language_creators:
+- found
+multilinguality:
+- monolingual
+source_datasets:
+- orange_sum
 ---
 
 # orange_sum_fr_prompt_summary
 ## Summary
 
-**orange_sum_fr_prompt_summary** is a subset of the [**Dataset of French Prompts (DFP)**]().  
-It contains **48,069** rows that can be used for a summary task.  
+**orange_sum_fr_prompt_summary** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).  
+It contains **683,228** rows that can be used for a summary task.  
 The original data (without prompts) comes from the dataset [orange_sum](https://huggingface.co/datasets/orange_sum) by Eddine et al.   
 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.
 
@@ -63,8 +74,10 @@ targets = orange_sum['train'][i]['summary']
 
 
 # Splits
-- train with 48,069 samples
-- no valid and test splits in the original data
+- `train` with 599,228 samples
+- `valid` with 42,000 samples
+- `test` with 42,000 samples
+
 
 
 # How to use?