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.
696f99bbbfeda8d7e160ca9f
Hunter Heidenreich
claimed_verified
2026-01-21T09:23:37.381Z
632f536d2636f057d586cf5b
/avatars/dab7b28734b17a2ba66fd4ae40af000e.svg
Hunter Heidenreich
hheiden
user
hheiden
696f99bbbfeda8d7e160caa0
Yosheb Getachew
claimed_verified
2026-01-22T08:47:26.324Z
6970fd17a4ce432aba955aee
/avatars/1cfed682737cb4da62a076df73b381e6.svg
Yosheb Getachew
yosh-roots
user
yosh-roots
696f99bbbfeda8d7e160caa1
Olivia Dinica
696f99bbbfeda8d7e160caa2
Ben Elliott
claimed_verified
2026-01-22T17:12:25.362Z
6970fcdb686be84c0f5a295a
/avatars/c34ccbc616ba2433836f04457e936f32.svg
Ben Elliott
bene-roots
user
bene-roots
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.