Open-source subset of the Chunkr Layout Detection benchmark dataset, containing 360 professionally annotated documents with 4,695 layout annotations across 16 element classes.
This dataset benchmarks document layout detection models on diverse, real-world documents including financial reports, legal contracts, research papers, medical records, and more. It draws from a curated collection of publicly accessible or research datasets listed below (grouped by domain) and augmented with select government and open-document sources.
🧩 Dataset Overview
Document Categories
Financial (16.7%), Legal (11.1%), Medical (10.3%), Government (8.1%)
Technical, Research, Historical, Real Estate, Education
from datasets import load_dataset
dataset = load_dataset("ChunkrAI/chunkr-layout-bench-oss")
for item in dataset['train']:
print(item['doc_category'], item['width'], item['height'])
The following tables summarize datasets and sources referenced for sampling, benchmarking, or cross-domain balancing in Chunkr Layout Bench OSS.
All sources are publicly accessible for research or under permissive licenses (MIT, CC-BY, public domain).
MIT License
Free to use for research and commercial purposes.
Where applicable, individual third-party datasets retain their original licenses, all of which allow redistribution or benchmarking under fair-use or research terms.
📎 Citation
If you use this dataset or benchmark, please cite:
@dataset{chunkr_layout_bench_oss_2025,
title = {Chunkr Layout Bench - Open Source Subset},
author = {ChunkrAI},
year = {2025},
publisher = {Lumina AI Inc.},
license = {MIT},
url = {https://huggingface.co/datasets/ChunkrAI/chunkr-layout-bench-oss}
}
