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PubMed-OCR: PMC Open Access OCR Annotations

PubMed-OCR is an OCR-centric corpus of scientific articles derived from PubMed Central Open Access PDFs. Each page image is annotated with Google Cloud Vision and released in a compact JSON schema with word-, line-, and paragraph-level bounding boxes. The corpus spans 209.5K articles (1.5M pages; ~1.3B words) and supports layout-aware modeling, coordinate-grounded QA, and evaluation of OCR-dependent pipelines. We analyze corpus characteristics (e.g., journal coverage and detected layout features) and discuss limitations, including reliance on a single OCR engine and heuristic line reconstruction. We release the data and schema to facilitate downstream research and invite extensions.

preprint2026arXivOpen access
Hunter HeidenreichYosheb GetachewOlivia DinicaBen Elliott
Computation and LanguageComputer VisionDigital LibrariesMachine Learning
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Hunter HeidenreichYosheb GetachewOlivia DinicaBen Elliott

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