license_name: ludov.1.0
license_link: LICENSE
task_categories:
- text-classification
language:
- fr
tags:
- legal
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.
The dataset provides documents segmented into lines. Each document was collected in HTML format or PDF format. Then PDFs were converted to HTML with basic formatting tags like bold or italics. Each line includes layout information, raw text (HTML), and a label indicating whether it's a title. Common tasks using this data include predicting titles and reconstructing the Table of Contents (TOC) for each document.
While information about the hierarchical structure of each line is not currently available, we plan to incorporate it in future releases.
Usage
Using HF中国镜像站 datasets:
from datasets import load_dataset
dataset = load_dataset("DoctrineAI/legal_document_structuring")
Source data
The original data comes from public French institution data :
License
License: Ludo v.1.0