Update README.md

README.md

@@ -6,7 +6,7 @@ license:
 multilinguality:
 - monolingual
 task_categories:
-- classification
+- text-classification, multi-label-classification
 ---
 # Dataset Card for IPC classification of French patents
 
@@ -19,17 +19,21 @@ task_categories:
 
 ### Dataset Summary
 
-INPI-CLS is a French Patents corpus extracted from the INPI internal database, and contain all parts of patent texts (title, abstract, claims, description) published from 2002 to 2021, each patent being annotated with all levels from sections to the IPC subgroup labels.
+INPI-CLS is a French Patents corpus extracted from the internal database of the INPI (National Institute of Industrial Property of France). It was initially designed for the patent classification task and consists of approximately 296k patent texts (including title, abstract, claims, and description) published between 2002 and 2021. Each patent in the corpus is annotated with labels ranging from sections to the IPC subgroup levels.
 
 ### Languages
 
 French
 
+### Domain
+
+Patents (intellectual property).
+
 ### Social Impact of Dataset
 
-The purpose of this dataset is to help develop models that enable the classification of French patents in the International Patent Classification (IPC) system standard.
+The purpose of this dataset is to help develop models that enable the classification of French patents in the [International Patent Classification (IPC)](https://www.wipo.int/classifications/ipc/en/) system standard.
 
-Due to the high integrity of the data, it can also be used for other analytical studies related to French language patents.
+Thanks to the high integrity of the data, the INPI-CLS corpus can be utilized for various analytical studies concerning French language patents. Moreover, it serves as a valuable resource as a scientific corpus that comprehensively documents the technological inventions of the country.
 
 
 ### Citation Information