---
license: mit
task_categories:
- object-detection
tags:
- document-layout-analysis
- layout-detection
- coco
- benchmark
size_categories:
- n<1K
---

# Chunkr Layout Bench - Open Source Subset

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

<div align="center">
  <img src="analysis/dataset_overview.png" alt="Dataset Overview" width="100%"/>
</div>

### Document Categories

- Financial (16.7%), Legal (11.1%), Medical (10.3%), Government (8.1%)
- Technical, Research, Historical, Real Estate, Education
- Construction, Procurement, Tax, Billing, Supply Chain
- Textbook, Consulting, Newspaper, Patent, Magazine, Miscellaneous

### Layout Diversity

- **46%** Single-column documents  
- **42%** Multi-column documents  
- **12%** Double-column documents  

---

## 📊 Element Classes

| Class | ID | Count | Description |
|-------|:--:|------:|-------------|
| **Text Block** | 1 | 1,717 | Main body text regions |
| **List Item** | 11 | 769 | Bulleted or numbered list elements |
| **Title** | 8 | 488 | Section and document titles |
| **Line Number** | 10 | 310 | Line numbering (code, legal docs) |
| **Page Number** | 12 | 260 | Page numbering elements |
| **Header** | 7 | 217 | Document headers |
| **Footer** | 2 | 196 | Document footers |
| **Table** | 14 | 195 | Tabular data structures |
| **Form Region** | 4 | 190 | Form fields and structures |
| **Picture** | 13 | 91 | Images and photographs |
| **Graphical Item** | 6 | 82 | Charts, diagrams, illustrations |
| **Footnote** | 3 | 76 | Footnote text |
| **Caption** | 0 | 52 | Figure and table captions |
| **Formula** | 5 | 31 | Mathematical expressions |
| **Legend** | 9 | 15 | Chart and diagram legends |
| **Unknown** | 15 | 6 | Unclassified elements |

---

## 📁 Dataset Structure

```

chunkr-layout-bench-oss/
├── images/                    # 360 document images (PNG format)
├── _annotations.coco.json     # COCO format annotations
├── metadata.csv               # Image metadata (doc_category, width, height, id)
└── analysis/                  # Statistical analysis and visualizations
├── dataset_overview.png
├── source_raw_layouts.png
├── dataset_summary.png
└── ...

````

---

## 🖼️ Sample Annotations

<div align="center">
  <img src="analysis/sample_annotations.png" alt="Sample Annotations" width="100%"/>
</div>

---

## 📈 Dataset Statistics

<div align="center">
  <img src="analysis/dataset_summary.png" alt="Dataset Summary" width="80%"/>
</div>

### Layout Examples

<div align="center">
  <img src="analysis/source_raw_layouts.png" alt="Source Raw Layouts" width="100%"/>
</div>

---

## ⚙️ Usage

### Load with Hugging Face `datasets`

```python
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'])
````

### With Supervision

```python
import supervision as sv

dataset = sv.DetectionDataset.from_coco(
    images_directory_path="images",
    annotations_path="_annotations.coco.json"
)

print(f"Dataset size: {len(dataset)}")
print(f"Classes: {dataset.classes}")
```

### Convert to YOLO Format

```python
import supervision as sv

dataset = sv.DetectionDataset.from_coco(
    images_directory_path="images",
    annotations_path="_annotations.coco.json"
)

dataset.as_yolo(
    images_directory_path="yolo/images",
    annotations_directory_path="yolo/labels",
    data_yaml_path="yolo/data.yaml"
)
```

---

## 📚 Data Attribution and References

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).

---

### 🧾 Financial & Business Documents

| Dataset / Source                             | Domain                             | Access Location                                                                     |
| -------------------------------------------- | ---------------------------------- | ----------------------------------------------------------------------------------- |
| **DocLayNet (IBM)**                          | Finance, Legal, Patents, Technical | [Hugging Face – ds4sd/DocLayNet](https://huggingface.co/datasets/ds4sd/DocLayNet)   |
| **IIIT-AR-13K**                              | Financial Reports, Business        | [IIIT Hyderabad / GitHub](https://github.com/iiit-datasets)                         |
| **Kleister Charity / NDA**                   | Financial & Legal Documents        | [GitHub – applicaai/kleister-nda](https://github.com/applicaai/kleister-nda)        |
| **SEC Filings (EDGAR)**                      | Corporate Finance                  | [SEC EDGAR Bulk API](https://www.sec.gov/edgar/searchedgar/companysearch.html)      |
| **McKinsey, BCG, Deloitte Insights Reports** | Consulting, Business Strategy      | BCG Insights / McKinsey / Deloitte Portals                                          |
| **SynFinTabs**                               | Synthetic Financial Tables         | [Hugging Face](https://huggingface.co/datasets)                                     |
| **RVL-CDIP**                                 | Business Records, Legal            | [Hugging Face – aharley/rvl_cdip](https://huggingface.co/datasets/aharley/rvl_cdip) |

---

### ⚖️ Legal, Government & Regulatory

| Dataset / Source                       | Domain                    | Access Location                                                       |
| -------------------------------------- | ------------------------- | --------------------------------------------------------------------- |
| **FUNSD**                              | Government Forms          | [FUNSD Dataset Page](https://guillaumejaume.github.io/FUNSD/)         |
| **NIST Tax Forms (1988)**              | Tax / Payroll             | [NIST Special DB 2](https://www.nist.gov/srd/nist-special-database-2) |
| **CourtListener RECAP Archive**        | Legal Filings, Case Law   | [Free Law Project](https://www.courtlistener.com/)                    |
| **Cook County Contracts & Amendments** | Legal / Government        | [Cook County Open Data Portal](https://datacatalog.cookcountyil.gov/) |
| **GovDocs1 Million Corpus**            | Government / Multi-Domain | [DigitalCorpora Repository](https://digitalcorpora.org/)              |

---

### 🏥 Medical & Healthcare

| Dataset / Source                                        | Domain                 | Access Location                                                  |
| ------------------------------------------------------- | ---------------------- | ---------------------------------------------------------------- |
| **Synthetic Medical Forms / OMR Scanned Medical Forms** | Healthcare / Admin     | [Hugging Face Datasets](https://huggingface.co/datasets)         |
| **Synthea Synthetic Patient Records**                   | Healthcare (EHR)       | [AWS Open Data Registry](https://registry.opendata.aws/synthea/) |
| **Blue Cross Blue Shield Sample EOBs**                  | Healthcare / Insurance | Public Sample PDFs                                               |
| **Handwritten Rx (Kaggle)**                             | Prescriptions          | [Kaggle Dataset](https://www.kaggle.com/)                        |

---

### 🏢 Real Estate, Construction & Engineering

| Dataset / Source                           | Domain                      | Access Location                                               |
| ------------------------------------------ | --------------------------- | ------------------------------------------------------------- |
| **CubiCasa5K**                             | Floor Plans, Real Estate    | [GitHub – CubiCasa5k](https://github.com/CubiCasa/CubiCasa5k) |
| **CISOL / FloorPlanCAD**                   | Construction / Supply Chain | [Zenodo DOI 10.5281/zenodo.10829550](https://zenodo.org/)     |
| **Machine Learning STRUCTural Floor Plan** | Engineering / CAD           | [GitHub Repository](https://github.com/)                      |
| **Lease Agreements / HUD Forms**           | Real Estate / Legal         | [HUD.gov Forms](https://www.hud.gov/forms)                    |
| **Property Records / PhilaDox**            | Land Records                | [PhilaDox OpenData Portal](https://opendataphilly.org/)       |

---

### 📚 Academic, Historical & Educational

| Dataset / Source                                      | Domain                     | Access Location                                                                            |
| ----------------------------------------------------- | -------------------------- | ------------------------------------------------------------------------------------------ |
| **DocBank**                                           | Academic (ArXiv Preprints) | [GitHub – doc-analysis/DocBank](https://github.com/doc-analysis/DocBank)                   |
| **PubLayNet**                                         | Scientific Journals        | [IBM DAX Project / Kaggle](https://www.kaggle.com/datasets/ibm-object-detection-publaynet) |
| **U-DIADS-Bib / DIVA-HisDB / HJDataset**              | Historical Documents       | [ICDAR / UniFr / Harvard HisDoc Projects](https://icdar.org/)                              |
| **Internet Archive "Magazine Rack" & Textbook Scans** | Magazines, Textbooks       | [Internet Archive](https://archive.org/)                                                   |
| **Standardized Exam Papers**                          | Education                  | [College Board, ACT Archives](https://www.collegeboard.org/)                               |

---

### 🧮 Technical, Manufacturing & Miscellaneous

| Dataset / Source                                 | Domain                      | Access Location                                         |
| ------------------------------------------------ | --------------------------- | ------------------------------------------------------- |
| **PRImA Layout Analysis**                        | Technical Publications      | [PRImA Dataset](https://www.primaresearch.org/)         |
| **Safety Data Sheets (SDS) Online Repositories** | Manufacturing / Chemical    | [SDSManager / Chemical Safety](https://sdsmanager.com/) |
| **Disassembly BOM Dataset**                      | Manufacturing / Electronics | [Figshare](https://figshare.com/)                       |
| **Tobacco3482 / Tobacco800**                     | Business Records            | [Kaggle Dataset](https://www.kaggle.com/)               |
| **Customs Import Declarations (Synthetic)**      | Logistics / Customs         | [GitHub Dataset](https://github.com/)                   |

---

## 🧾 License

**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}
}
```