3 datasets

Hugging Face Datasets2026 · Image

ParseBench 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 · Image

Synthetic Medical Document Recognition Benchmark This dataset contains synthetic, English-language medical records rendered as documents for evaluating automated data extraction and de-identification systems. Each synthetic patient has a longitudinal FHIR R4 record and multiple visual representations derived from that record. Every rendered document is clearly marked as synthetic. This makes the d

Hugging Face Datasets2026 · Image

Main Leaderboard 58 models · 3 matched tracks · 🏆 Search, filter & sort the leaderboard → The current evaluation covers 13 pipeline / multi-stage specialists, 19 end-to-end specialists, and 26 general-purpose VLMs. Each track contains 1,475 pages. The top 10 by the three-track mean, Avg₃, are shown below. Rank Model (release) Type Clean ↑ Digital ↑ Real ↑ Avg₃ ↑ 1 GLM-5.3-Flash (2026-08) General V