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README.md

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 ---
 license: mit
+task_categories:
+  - object-detection
+language:
+  - km
+tags:
+  - document-layout
+  - khmer
+  - coco
+pretty_name: ARDB Daily Bulletin Layout (COCO) v1
 ---
+
+# ARDB Daily Bulletin Layout Detection — v1 (COCO format)
+
+Document-layout detection dataset built from **ARDB (Agricultural and Rural Development Bank
+of Cambodia) daily market-price bulletins** — born-digital Khmer PDFs with one price table per
+page. Purpose: fine-tune a layout detector (YOLO-class) for a Khmer financial-document OCR
+pipeline at GDDE/MEF.
+
+## Contents
+
+| Split | Pages | Boxes | Documents |
+|---|---|---|---|
+| train | 73 | 341 | 24 bulletins |
+| valid | 9 | 42 | 3 bulletins |
+| test | 9 | 42 | 3 bulletins |
+
+Each split folder holds page images (JPG, rendered at 200 DPI) plus `_annotations.coco.json`
+(COCO object-detection format, bbox = `[x, y, width, height]` in pixels).
+
+**Classes (5):** `Table`, `Text`, `Section-Header`, `Page-Furniture` (page headers/footers),
+`Picture` (logos/stamps). Category ids follow each JSON's `categories` list.
+Exactly one `Table` box per page, covering the full table **including header row and label
+columns** (a deliberate rule: off-the-shelf detectors clipping label columns was a measured
+failure mode).
+
+## Provenance & method
+
+1. Source PDFs: publicly published ARDB daily bulletins (June–July 2026), rendered at 200 DPI.
+2. **Pseudo-labels** generated by Surya layout detection (`surya-ocr` 2.x), mapped to the
+   5-class set, confidence-filtered at 0.5.
+3. **Human correction pass** in Roboflow (model-assisted labeling): fragmented table boxes
+   merged to one per page, box edges tightened, labels fixed, junk boxes removed.
+4. Split is **by document** (no bulletin's pages straddle splits) to prevent
+   near-duplicate-page leakage; assignment is deterministic (seed 0).
+
+## Caveats
+
+- **Single-template corpus:** all 30 bulletins share one layout. valid/test measure
+  label quality, not cross-template generalization — evaluate generalization on held-out
+  document types (budget/TOFE reports, gas-price bulletins) via the downstream pipeline harness.
+- Pseudo-labels originate from Surya (weights under a modified OpenRAIL-M licence); this
+  dataset is intended for **private/internal training use** pending a licence review for any
+  public redistribution.

test/_annotations.coco.json

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+{"images": [{"id": 0, "file_name": "doc_003_p0_png.rf.910b386643350c03d9829a3d90fd70bb.jpg", "width": 2000, "height": 2000}, {"id": 1, "file_name": "doc_003_p1_png.rf.4b97de97cb68ef1430f6eb122dac9752.jpg", "width": 2000, "height": 2000}, {"id": 2, "file_name": "doc_003_p2_png.rf.b84776d16fd20e5be5a0f868625154a1.jpg", "width": 2000, "height": 2000}, {"id": 3, "file_name": "doc_017_p0_png.rf.5032ce0d9389884f3da390db1ba30e1d.jpg", "width": 2000, "height": 2000}, {"id": 4, "file_name": "doc_017_p1_png.rf.b3fd7a7dccfb69c11025b03ab0ce2b86.jpg", "width": 2000, "height": 2000}, {"id": 5, "file_name": "doc_017_p2_png.rf.9d676d7f5552c2d3277b3e86c6dc8605.jpg", "width": 2000, "height": 2000}, {"id": 6, "file_name": "doc_018_p0_png.rf.fb282ee3ba844f17061a8c6350c1f8ca.jpg", "width": 2000, "height": 2000}, {"id": 7, "file_name": "doc_018_p1_png.rf.598395774bc215c49698bc02675c8afb.jpg", "width": 2000, "height": 2000}, {"id": 8, "file_name": "doc_018_p2_png.rf.d2d90227bd137d9ff9a1f876b578f515.jpg", "width": 2000, "height": 2000}], "annotations": [{"id": 0, "image_id": 0, "category_id": 4, "bbox": [30.0, 30.0, 150.0, 150.0], "area": 22500.0, "iscrowd": 0, "score": 1.0}, {"id": 1, "image_id": 0, "category_id": 3, "bbox": [186.00499999999997, 41.99999999999999, 354.6700000000001, 63.42000000000001], "area": 22493.171400000007, "iscrowd": 0, "score": 1.0}, {"id": 2, "image_id": 0, "category_id": 3, "bbox": [185.99499999999998, 102.0, 363.30999999999995, 66.46000000000001], "area": 24145.582599999998, "iscrowd": 0, "score": 1.0}, {"id": 3, "image_id": 0, "category_id": 2, "bbox": [225.99499999999995, 235.995, 1545.2300000000002, 86.65000000000003], "area": 133894.1795000001, "iscrowd": 0, "score": 1.0}, {"id": 4, "image_id": 0, "category_id": 0, "bbox": [30.00000000000003, 350.0, 1940.0, 1606.0], "area": 3115640.0, "iscrowd": 0, "score": 1.0}, {"id": 5, "image_id": 1, "category_id": 4, "bbox": [30.000000000000014, 29.57499999999999, 151.26, 153.11], "area": 23159.4186, "iscrowd": 0, 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train/_annotations.coco.json

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