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@@ -14,10 +14,13 @@ Document structuring plays a crucial role in various natural language processing
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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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- 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
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- The goal here is to predict whether a line is a title or not.
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- It's worth noting that hierarchical level information for each line is not currently included but may be incorporated in future iterations.
 
 
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  **Usage**
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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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