Hugging Face Datasets2026 · Image
AdvSpot…AdvSpot AdvSpot is the first grounded adversarial OCR benchmark, introduced in the paper ArmorOCR: Grounded Adversarial Visual Perception via Observation-Transferred Self-Distillation…
Hugging Face Datasets2026 · Image
ParseBenchParseBench Quick links: [🌐 Website] [📜 Paper] [💻 Code] ParseBench is a benchmark for evaluating document parsing systems on real-world enterprise documents, with the following characteristics: Multi-dimensional evaluation. The benchmark is stratified into five capability dimensions — tables, charts, content faithfulness, semantic formatting, and visual grounding — each with task-specific metrics d
Hugging Face Datasets2026 · Text
Manga109-s Text Line AnnotationsManga109-s Text Line Annotations High-precision, line-level bounding box and polygon annotations for the Manga109-s Dataset, supporting both full manga pages and speech bubble crops. Furigana is not labeled and is almost entirely excluded from line labels. Includes 8-point oriented polygons for slanted/rotated text lines. The annotation process is documented in METHODOLOGY.md (WIP). Notice: This d
Hugging Face Datasets2026 · Text
VotingBookletsVotingBooklets Dataset Summary VotingBooklets is a large-scale four-language parallel corpus extracted from the complete collection of Swiss federal voting booklets (Abstimmungsbüchlein), covering federal votes from June 1977 to March 2026. It contains aligned paragraph-level segments across German (de), French (fr), Italian (it), and Romansh Grischun (rm), and serves as a resource for low-resourc