joanrod/paper2figure-dataset
Pipeline to create Paper2Fig dataset, a dataset for text-to-image generation from research papers and figures (e.g., diagrams of architectures or methods in fields like Machine Learning or Computer Vision)
This tool helps researchers and content creators build specialized datasets by extracting figures and their captions from academic papers, primarily in Computer Science fields like Machine Learning and Computer Vision. You provide a list of arXiv paper IDs, and it processes the PDFs to output a structured dataset containing images, their associated text captions, and any text recognized within the figures. This is for anyone who needs to curate a large collection of research diagrams and their descriptions for training AI models or analyzing visual content.
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Use this if you need a specialized dataset of figures and their corresponding captions from research papers, especially if you're working on projects related to text-to-image generation or visual content analysis in technical domains.
Not ideal if you're looking for a general-purpose PDF parser for extracting all text and images from documents, or if your primary interest is in quantitative plots and charts rather than architectural diagrams or method illustrations.
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Python
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Last pushed
Jan 30, 2023
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Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/joanrod/paper2figure-dataset"
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