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The authors utilized the GROBID (GeneRation Of BIbliographic Data) tool to perform initial extraction. They then applied a filtering process to remove documents that were too short or poorly parsed, resulting in a high-quality subset. They benchmarked the dataset by training neural networks to segment documents into structural zones.

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