Dataset · Hugging Face

letxbe/BoundingDocs

Name: BoundingDocs
Creator: letxbe
License: cc-by-4.0
Keywords: task_categories:question-answering, task_categories:visual-question-answering, language:en, language:it, language:es, language:fr, language:de, language:pt, language:ja, language:zh, license:cc-by-4.0, size_categories:10K<n<100K, format:parquet, modality:image, modality:text

BoundingDocs 🔍 The largest spatially-annotated dataset for Document Question Answering Dataset Description BoundingDocs is a unified dataset for Document Question Answering (QA) that includes spatial annotations. It consolidates multiple public datasets from Document AI and Visually Rich Document Understanding (VRDU) domains. The dataset reformulates Information Extraction (IE) tasks into QA tasks, making it a valuable resource for training and evaluating Large Language… See the full description on the dataset page: https://huggingface.co/datasets/letxbe/BoundingDocs.

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Author / organization	letxbe
License (as declared)	cc-by-4.0
Downloads	4.5K (as reported by Hugging Face)
Likes	21
Created	3 January 2025
Last updated at source	20 June 2025

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