Update README

README.md

@@ -1,51 +1,39 @@
 ---
-language:
-- fr
+license_name: ludov.1.0
+license_link: LICENSE
 task_categories:
 - text-classification
-license_name: ludov.1.0
+language:
+- fr
 tags:
 - legal
-- layout
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
-dataset_info:
-  features:
-  - name: document_id
-    dtype: string
-  - name: document_type
-    dtype: string
-  - name: document_original_url
-    dtype: string
-  - name: line_number
-    dtype: int64
-  - name: raw_text
-    dtype: string
-  - name: left
-    dtype: float64
-  - name: height
-    dtype: float64
-  - name: bold
-    dtype: bool
-  - name: italic
-    dtype: bool
-  - name: is_title
-    dtype: bool
-  splits:
-  - name: train
-    num_bytes: 154469665
-    num_examples: 356577
-  - name: test
-    num_bytes: 2927938
-    num_examples: 6132
-  download_size: 45622687
-  dataset_size: 157397603
 ---
+**Task details**
+
+Document structuring plays a crucial role in various natural language processing (NLP) tasks, such as information retrieval, and document understanding. 
+It also helps readers to effectively navigate into a structured document with a large amount of textual data. 
+In the legal domain, document structuring is particularly important for creating inter- and intra-document links.
+
+This dataset contains documents segmented into lines. Each line contains layout information and its raw text, with an indication of whether it is a title
+The goal here is to predict whether a line is a title or not.
+It's worth noting that hierarchical level information for each line is not currently included but may be incorporated in future iterations.
+
+
+**Usage**
+
+Using Hugging Face datasets:
+```
+from datasets import load_dataset
+dataset = load_dataset("DoctrineAI/legal_document_structuring")
+```
+
+
+**Source data**
+
+The original data comes from public French institution data : 
+- https://www.assemblee-nationale.fr/
+- https://www.senat.fr/
+- https://www-impots-gouv-fr/
 
 **License**