Upload chunkr-reading-order-bench-oss dataset

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README.md

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+---
+license: mit
+task_categories:
+- object-detection
+tags:
+- document-layout-analysis
+- reading-order-detection
+- document-understanding
+- coco
+- benchmark
+size_categories:
+- n<1K
+---
+
+# Chunkr Reading Order Bench - Open Source Subset
+
+Open-source subset of the **Chunkr Reading Order benchmark dataset**, containing **733 professionally annotated documents** with detailed **reading order annotations** across diverse document layouts.
+
+This dataset benchmarks reading order detection models on complex, real-world documents including **financial reports**, **legal contracts**, **research papers**, **medical records**, and more. Each document includes ground truth reading order sequences essential for accurate document understanding and text extraction.
+
+---
+
+## Dataset Overview
+
+<div align="center">
+  <img src="analysis/dataset_overview.png" alt="Dataset Overview" width="100%"/>
+</div>
+
+### Reading Order Annotations
+
+<div align="center">
+  <img src="analysis/reading_order_visualization.png" alt="Reading Order Visualization" width="100%"/>
+</div>
+
+The dataset provides **professionally annotated reading order sequences** for each document, capturing the natural flow in which humans would read the content. This is critical for:
+- **Accurate text extraction** from complex layouts
+- **Document understanding** and information retrieval
+- **Maintaining semantic coherence** in multi-column documents
+- **Preserving logical flow** across mixed layout elements
+
+### Document Categories
+
+- Financial (14.3%), Legal (13.1%), Medical (10.8%), Government (10.0%)
+- Technical (5.0%), Billing (5.2%), Consulting (4.6%), Research (3.5%)
+- Education, Tax, Procurement, Historical, Supply Chain
+- Real Estate, Patent, Construction, Newspaper, Magazine, Textbook
+
+### Layout Diversity
+
+- **49.4%** Single-column documents  
+- **12.8%** Double-column documents
+- **34.4%** Three-column documents
+- **3.4%** Four+ column documents
+
+---
+
+## 📊 Reading Order Complexity
+
+<div align="center">
+  <img src="analysis/column_distribution_by_category.png" alt="Column Distribution by Category" width="100%"/>
+</div>
+
+The dataset spans a wide range of layout complexities:
+
+| Layout Type | Count | Percentage | Description |
+|-------------|------:|:----------:|-------------|
+| **Single Column** | 362 | 49.4% | Simple linear reading flow |
+| **Double Column** | 94 | 12.8% | Academic papers, newsletters |
+| **Multi-Column (3+)** | 277 | 37.8% | Newspapers, magazines, complex reports |
+
+### Element Classes (16 types)
+
+| Class | ID | Count | Description |
+|-------|:--:|------:|-------------|
+| **Text Block** | 1 | 2,866 | Main body text regions |
+| **List Item** | 11 | 1,748 | Bulleted or numbered list elements |
+| **Title** | 8 | 1,112 | Section and document titles |
+| **Page Number** | 12 | 470 | Page numbering elements |
+| **Header** | 7 | 429 | Document headers |
+| **Footer** | 2 | 402 | Document footers |
+| **Table** | 14 | 392 | Tabular data structures |
+| **Picture** | 13 | 377 | Images and photographs |
+| **Form Region** | 4 | 351 | Form fields and structures |
+| **Graphical Item** | 6 | 250 | Charts, diagrams, illustrations |
+| **Caption** | 0 | 231 | Figure and table captions |
+| **Footnote** | 3 | 156 | Footnote text |
+| **Line Number** | 10 | 145 | Line numbering (code, legal docs) |
+| **Formula** | 5 | 57 | Mathematical expressions |
+| **Legend** | 9 | 41 | Chart and diagram legends |
+| **Unknown** | 15 | 240 | Unclassified elements |
+
+---
+
+## Dataset Structure
+
+```
+chunkr-reading-order-bench-oss/
+├── images/                    # 733 document images (PNG format)
+├── _annotations.coco.json     # COCO format annotations with reading order
+├── metadata.csv               # Image metadata (doc_category, dimensions, elements, columns)
+└── analysis/                  # Statistical analysis and visualizations
+    ├── dataset_overview.png
+    ├── reading_order_visualization.png
+    ├── column_distribution_by_category.png
+    ├── reading_order_sample_*.png
+    └── ...
+```
+
+---
+
+## Sample Visualizations
+
+### Reading Order Flow Examples
+
+<div align="center">
+  <img src="analysis/reading_order_sample_1.png" alt="Single Column Example" width="45%"/>
+  <img src="analysis/reading_order_sample_2.png" alt="Multi-Column Example" width="45%"/>
+</div>
+
+<div align="center">
+  <img src="analysis/reading_order_sample_3.png" alt="Complex Layout Example" width="45%"/>
+  <img src="analysis/reading_order_sample_4.png" alt="Mixed Elements Example" width="45%"/>
+</div>
+
+The arrows indicate the ground truth reading order progression, showing how the document should be read to maintain semantic coherence.
+
+---
+
+## Dataset Statistics
+
+<div align="center">
+  <img src="analysis/dataset_summary.png" alt="Dataset Summary" width="80%"/>
+</div>
+
+### Document Category Distribution
+
+<div align="center">
+  <img src="analysis/category_distribution.png" alt="Category Distribution" width="100%"/>
+</div>
+
+---
+
+## Usage
+
+### Load with Hugging Face `datasets`
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("ChunkrAI/chunkr-reading-order-bench-oss")
+
+for item in dataset['train']:
+    print(item['doc_category'], item['num_columns'], item['num_elements'])
+```
+
+### 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}")
+
+# Access reading order from annotations
+for image_path, image, annotations in dataset:
+    # Process annotations with reading order information
+    pass
+```
+
+---
+
+## Data Attribution and References
+
+The following tables summarize **datasets and sources** referenced for sampling, benchmarking, or cross-domain balancing in Chunkr Reading Order 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_reading_order_bench_oss_2025,
+  title     = {Chunkr Reading Order Bench - Open Source Subset},
+  author    = {ChunkrAI},
+  year      = {2025},
+  publisher = {Lumina AI Inc.},
+  license   = {MIT},
+  url       = {https://huggingface.co/datasets/ChunkrAI/chunkr-reading-order-bench-oss}
+}
+```

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