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--- |
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license_name: ludov.1.0 |
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license_link: LICENSE |
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task_categories: |
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- text-classification |
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language: |
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- fr |
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tags: |
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- legal |
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--- |
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**Task details** |
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Document structuring plays a crucial role in various natural language processing (NLP) tasks, such as information retrieval, and document understanding. |
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It also helps readers to effectively navigate into a structured document with a large amount of textual data. |
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In the legal domain, document structuring is particularly important for creating inter- and intra-document links. |
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The dataset provides documents segmented into lines. |
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Each document was collected in HTML format or PDF format. |
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Then PDFs were converted to HTML with basic formatting tags like bold or italics. |
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Each line includes layout information, raw text (HTML), and a label indicating whether it's a title. |
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Common tasks using this data include predicting titles and reconstructing the Table of Contents (TOC) for each document. |
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While information about the hierarchical structure of each line is not currently available, we plan to incorporate it in future releases. |
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**Usage** |
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Using HF中国镜像站 datasets: |
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``` |
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from datasets import load_dataset |
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dataset = load_dataset("DoctrineAI/legal_document_structuring") |
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``` |
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**Source data** |
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The original data comes from public French institution data : |
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- https://www.assemblee-nationale.fr/ |
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- https://www.senat.fr/ |
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- https://www-impots-gouv-fr/ |
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**License** |
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License: [Ludo v.1.0](https://datasets.doctrine.fr/Open%20data%20Use%20Licence.pdf) |
