Update README.md

README.md

@@ -27,18 +27,22 @@ multilinguality:
 
 # Dataset Card for Dataset of French Prompts (DFP)
 
-TODO :
-- nombre de lignes
-- nombre de tâches
-- nombre de jeux de données originaux
-- nombre de prompts (impératif, tutoiement et vouvoiement)
-- les splits et le détail des colonnes (pour que l'utilisateur puisse filtrer au niveau du jeu de données ou de la tâche) + format xP3
-- évoquer les licences et les 68 jeux de données.
+This dataset of prompts contains **112,194,043 rows** but for licensing reasons we can only share 106,931,863 rows. It presents data for **28 different NLP tasks**.    
+**673 prompts** were written, including requests in imperative, tutoiement and vouvoiement form in an attempt to have as much coverage as possible of the pre-training data used by the model that will use these data and which are unknown to us.  
 
-This dataset contains 112,194,043 rows but for licensing reasons we can only share 106,931,863 rows.
+This dataset contains four columns:
+- inputs (string)
+- targets (string)
+- dataset (string)
+- task (string)
+The `inputs` and `targets` columns follow the same format as the [xP3](https://huggingface.co/datasets/bigscience/xP3) dataset by Muennighoff et al.  
+The `dataset` column allows the user to filter the datasets he wants to keep for his work.  
+The `task` column allows the user to filter the tasks he wants to keep for his work.  
 
+The dataset was created from 31 other datasets each with its own license. We invite you to consult them.  
+The 673 prompts are licensed under the `cc-by-4.0` license, so you're free to apply them to your own datasets.
 
-Ci-dessous, vous trouverez pour chacune des X tâches, les prompts utilisés, un exemple de rendu d'une ligne, la liste des jeux de données originaux utilisés avec leur licence.
+Below, you'll find for each of the 28 tasks, the prompts used for each, an example of a line, the list of original datasets to which the prompts were applied and their license.
 
 
 <details>
@@ -523,7 +527,13 @@ An example:
 ### Abirate/french_book_reviews
  **Original**: https://huggingface.co/datasets/Abirate/french_book_reviews
 #### Citation
-TODO
+> @misc {abir_eltaief_2023,  
+	author       = { {Abir ELTAIEF} },  
+	title        = { french_book_reviews (Revision 534725e) },  
+	year         = 2023,  
+	url          = { https://huggingface.co/datasets/Abirate/french_book_reviews },  
+	doi          = { 10.57967/hf/1052 },  
+	publisher    = { Hugging Face }}
 #### License
 CC0: Public Domain