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--- |
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license: mit |
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task_categories: |
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- object-detection |
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tags: |
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- document-layout-analysis |
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- layout-detection |
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- coco |
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- benchmark |
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size_categories: |
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- n<1K |
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--- |
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# Chunkr Layout Bench - Open Source Subset |
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Open-source subset of the **Chunkr Layout Detection benchmark dataset**, containing **360 professionally annotated documents** with **4,695 layout annotations** across **16 element classes**. |
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This dataset benchmarks document layout detection models on diverse, real-world documents including **financial reports**, **legal contracts**, **research papers**, **medical records**, and more. |
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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. |
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--- |
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## 🧩 Dataset Overview |
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<div align="center"> |
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<img src="analysis/dataset_overview.png" alt="Dataset Overview" width="100%"/> |
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</div> |
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### Document Categories |
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- Financial (16.7%), Legal (11.1%), Medical (10.3%), Government (8.1%) |
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- Technical, Research, Historical, Real Estate, Education |
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- Construction, Procurement, Tax, Billing, Supply Chain |
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- Textbook, Consulting, Newspaper, Patent, Magazine, Miscellaneous |
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### Layout Diversity |
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- **46%** Single-column documents |
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- **42%** Multi-column documents |
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- **12%** Double-column documents |
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--- |
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## 📊 Element Classes |
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| Class | ID | Count | Description | |
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|-------|:--:|------:|-------------| |
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| **Text Block** | 1 | 1,717 | Main body text regions | |
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| **List Item** | 11 | 769 | Bulleted or numbered list elements | |
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| **Title** | 8 | 488 | Section and document titles | |
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| **Line Number** | 10 | 310 | Line numbering (code, legal docs) | |
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| **Page Number** | 12 | 260 | Page numbering elements | |
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| **Header** | 7 | 217 | Document headers | |
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| **Footer** | 2 | 196 | Document footers | |
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| **Table** | 14 | 195 | Tabular data structures | |
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| **Form Region** | 4 | 190 | Form fields and structures | |
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| **Picture** | 13 | 91 | Images and photographs | |
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| **Graphical Item** | 6 | 82 | Charts, diagrams, illustrations | |
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| **Footnote** | 3 | 76 | Footnote text | |
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| **Caption** | 0 | 52 | Figure and table captions | |
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| **Formula** | 5 | 31 | Mathematical expressions | |
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| **Legend** | 9 | 15 | Chart and diagram legends | |
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| **Unknown** | 15 | 6 | Unclassified elements | |
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--- |
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## 📁 Dataset Structure |
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``` |
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chunkr-layout-bench-oss/ |
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├── images/ # 360 document images (PNG format) |
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├── _annotations.coco.json # COCO format annotations |
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├── metadata.csv # Image metadata (doc_category, width, height, id) |
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└── analysis/ # Statistical analysis and visualizations |
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├── dataset_overview.png |
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├── source_raw_layouts.png |
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├── dataset_summary.png |
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└── ... |
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```` |
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--- |
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## 🖼️ Sample Annotations |
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<div align="center"> |
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<img src="analysis/sample_annotations.png" alt="Sample Annotations" width="100%"/> |
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</div> |
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--- |
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## 📈 Dataset Statistics |
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<div align="center"> |
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<img src="analysis/dataset_summary.png" alt="Dataset Summary" width="80%"/> |
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</div> |
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### Layout Examples |
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<div align="center"> |
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<img src="analysis/source_raw_layouts.png" alt="Source Raw Layouts" width="100%"/> |
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</div> |
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--- |
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## ⚙️ Usage |
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### Load with Hugging Face `datasets` |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("ChunkrAI/chunkr-layout-bench-oss") |
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for item in dataset['train']: |
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print(item['doc_category'], item['width'], item['height']) |
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```` |
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### With Supervision |
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```python |
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import supervision as sv |
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dataset = sv.DetectionDataset.from_coco( |
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images_directory_path="images", |
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annotations_path="_annotations.coco.json" |
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) |
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print(f"Dataset size: {len(dataset)}") |
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print(f"Classes: {dataset.classes}") |
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``` |
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### Convert to YOLO Format |
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```python |
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import supervision as sv |
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dataset = sv.DetectionDataset.from_coco( |
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images_directory_path="images", |
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annotations_path="_annotations.coco.json" |
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) |
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dataset.as_yolo( |
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images_directory_path="yolo/images", |
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annotations_directory_path="yolo/labels", |
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data_yaml_path="yolo/data.yaml" |
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) |
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``` |
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--- |
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## 📚 Data Attribution and References |
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The following tables summarize **datasets and sources** referenced for sampling, benchmarking, or cross-domain balancing in Chunkr Layout Bench OSS. |
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All sources are **publicly accessible** for research or under permissive licenses (MIT, CC-BY, public domain). |
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--- |
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### 🧾 Financial & Business Documents |
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| Dataset / Source | Domain | Access Location | |
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| -------------------------------------------- | ---------------------------------- | ----------------------------------------------------------------------------------- | |
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| **DocLayNet (IBM)** | Finance, Legal, Patents, Technical | [Hugging Face – ds4sd/DocLayNet](https://huggingface.co/datasets/ds4sd/DocLayNet) | |
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| **IIIT-AR-13K** | Financial Reports, Business | [IIIT Hyderabad / GitHub](https://github.com/iiit-datasets) | |
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| **Kleister Charity / NDA** | Financial & Legal Documents | [GitHub – applicaai/kleister-nda](https://github.com/applicaai/kleister-nda) | |
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| **SEC Filings (EDGAR)** | Corporate Finance | [SEC EDGAR Bulk API](https://www.sec.gov/edgar/searchedgar/companysearch.html) | |
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| **McKinsey, BCG, Deloitte Insights Reports** | Consulting, Business Strategy | BCG Insights / McKinsey / Deloitte Portals | |
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| **SynFinTabs** | Synthetic Financial Tables | [Hugging Face](https://huggingface.co/datasets) | |
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| **RVL-CDIP** | Business Records, Legal | [Hugging Face – aharley/rvl_cdip](https://huggingface.co/datasets/aharley/rvl_cdip) | |
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--- |
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### ⚖️ Legal, Government & Regulatory |
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| Dataset / Source | Domain | Access Location | |
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| -------------------------------------- | ------------------------- | --------------------------------------------------------------------- | |
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| **FUNSD** | Government Forms | [FUNSD Dataset Page](https://guillaumejaume.github.io/FUNSD/) | |
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| **NIST Tax Forms (1988)** | Tax / Payroll | [NIST Special DB 2](https://www.nist.gov/srd/nist-special-database-2) | |
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| **CourtListener RECAP Archive** | Legal Filings, Case Law | [Free Law Project](https://www.courtlistener.com/) | |
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| **Cook County Contracts & Amendments** | Legal / Government | [Cook County Open Data Portal](https://datacatalog.cookcountyil.gov/) | |
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| **GovDocs1 Million Corpus** | Government / Multi-Domain | [DigitalCorpora Repository](https://digitalcorpora.org/) | |
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--- |
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### 🏥 Medical & Healthcare |
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| Dataset / Source | Domain | Access Location | |
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| ------------------------------------------------------- | ---------------------- | ---------------------------------------------------------------- | |
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| **Synthetic Medical Forms / OMR Scanned Medical Forms** | Healthcare / Admin | [Hugging Face Datasets](https://huggingface.co/datasets) | |
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| **Synthea Synthetic Patient Records** | Healthcare (EHR) | [AWS Open Data Registry](https://registry.opendata.aws/synthea/) | |
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| **Blue Cross Blue Shield Sample EOBs** | Healthcare / Insurance | Public Sample PDFs | |
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| **Handwritten Rx (Kaggle)** | Prescriptions | [Kaggle Dataset](https://www.kaggle.com/) | |
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--- |
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### 🏢 Real Estate, Construction & Engineering |
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| Dataset / Source | Domain | Access Location | |
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| ------------------------------------------ | --------------------------- | ------------------------------------------------------------- | |
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| **CubiCasa5K** | Floor Plans, Real Estate | [GitHub – CubiCasa5k](https://github.com/CubiCasa/CubiCasa5k) | |
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| **CISOL / FloorPlanCAD** | Construction / Supply Chain | [Zenodo DOI 10.5281/zenodo.10829550](https://zenodo.org/) | |
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| **Machine Learning STRUCTural Floor Plan** | Engineering / CAD | [GitHub Repository](https://github.com/) | |
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| **Lease Agreements / HUD Forms** | Real Estate / Legal | [HUD.gov Forms](https://www.hud.gov/forms) | |
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| **Property Records / PhilaDox** | Land Records | [PhilaDox OpenData Portal](https://opendataphilly.org/) | |
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--- |
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### 📚 Academic, Historical & Educational |
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| Dataset / Source | Domain | Access Location | |
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| ----------------------------------------------------- | -------------------------- | ------------------------------------------------------------------------------------------ | |
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| **DocBank** | Academic (ArXiv Preprints) | [GitHub – doc-analysis/DocBank](https://github.com/doc-analysis/DocBank) | |
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| **PubLayNet** | Scientific Journals | [IBM DAX Project / Kaggle](https://www.kaggle.com/datasets/ibm-object-detection-publaynet) | |
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| **U-DIADS-Bib / DIVA-HisDB / HJDataset** | Historical Documents | [ICDAR / UniFr / Harvard HisDoc Projects](https://icdar.org/) | |
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| **Internet Archive "Magazine Rack" & Textbook Scans** | Magazines, Textbooks | [Internet Archive](https://archive.org/) | |
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| **Standardized Exam Papers** | Education | [College Board, ACT Archives](https://www.collegeboard.org/) | |
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--- |
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### 🧮 Technical, Manufacturing & Miscellaneous |
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| Dataset / Source | Domain | Access Location | |
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| ------------------------------------------------ | --------------------------- | ------------------------------------------------------- | |
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| **PRImA Layout Analysis** | Technical Publications | [PRImA Dataset](https://www.primaresearch.org/) | |
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| **Safety Data Sheets (SDS) Online Repositories** | Manufacturing / Chemical | [SDSManager / Chemical Safety](https://sdsmanager.com/) | |
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| **Disassembly BOM Dataset** | Manufacturing / Electronics | [Figshare](https://figshare.com/) | |
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| **Tobacco3482 / Tobacco800** | Business Records | [Kaggle Dataset](https://www.kaggle.com/) | |
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| **Customs Import Declarations (Synthetic)** | Logistics / Customs | [GitHub Dataset](https://github.com/) | |
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--- |
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## 🧾 License |
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**MIT License** |
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Free to use for **research and commercial purposes**. |
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Where applicable, individual third-party datasets retain their **original licenses**, all of which allow redistribution or benchmarking under fair-use or research terms. |
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--- |
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## 📎 Citation |
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If you use this dataset or benchmark, please cite: |
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``` |
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@dataset{chunkr_layout_bench_oss_2025, |
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title = {Chunkr Layout Bench - Open Source Subset}, |
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author = {ChunkrAI}, |
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year = {2025}, |
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publisher = {Lumina AI Inc.}, |
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license = {MIT}, |
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url = {https://huggingface.co/datasets/ChunkrAI/chunkr-layout-bench-oss} |
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} |
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``` |
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