ardb-layout-coco-v2 / README.md
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---
license: cc-by-nc-4.0
task_categories:
- object-detection
language:
- km
tags:
- document-layout
- khmer
- coco
- object-detection
pretty_name: ARDB Daily Bulletin Layout (COCO)
size_categories:
- n<1K
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
# ARDB Daily Bulletin Layout Detection (COCO)
A document-layout **object-detection** dataset built from **ARDB (Agricultural and Rural
Development Bank of Cambodia) daily market-price bulletins** — born-digital Khmer-language PDFs,
one price table per page. Every page is annotated with bounding boxes for five layout regions
(table, text, section header, page furniture, picture).
Each row is a full page image rendered at **200 DPI (2000 × 2000 px, JPG)** with its box
annotations embedded, so the Dataset Viewer shows the image beside its labels.
## Dataset structure
| Split | Pages | Boxes | Source documents |
|------------|------:|------:|-----------------:|
| train | 73 | 341 | 24 bulletins |
| validation | 9 | 42 | 3 bulletins |
| test | 9 | 42 | 3 bulletins |
| **total** | **91**| **425**| **30 bulletins** |
### Fields
| Column | Type | Description |
|-------------|-----------------|-------------|
| `image` | image | Embedded page image (JPG, 2000 × 2000). |
| `image_id` | int64 | Row index within the split. |
| `file_name` | string | Source image file name. |
| `doc_id` | string | Identifier of the originating bulletin. |
| `source` | string | Originating PDF (provenance). |
| `width` | int64 | Image width in pixels. |
| `height` | int64 | Image height in pixels. |
| `objects` | struct of lists | Per-box annotations (see below). |
`objects` is a struct of parallel lists carrying the full COCO annotation fields:
- `id` — annotation id
- `bbox``[x, y, width, height]` in pixels (COCO convention)
- `category_id` — class index (0–4, see below)
- `category` — human-readable class name
- `area` — box area in px²
- `iscrowd` — always `0`
- `score` — annotation confidence (`1.0`, human-verified)
### Classes
| id | name | Boxes | Notes |
|----|------------------|------:|-----------------------------------------|
| 0 | `Table` | 91 | The price table — exactly one per page, covering the full table including header row and label columns. |
| 1 | `Text` | 30 | Body / paragraph text. |
| 2 | `Section-Header` | 31 | Headings and titles. |
| 3 | `Page-Furniture` | 182 | Page headers and footers. |
| 4 | `Picture` | 91 | Logos and stamps. |
## Usage
```python
from datasets import load_dataset
ds = load_dataset("Soxavin/ardb-layout-coco-v2") # splits: train / validation / test
row = ds["train"][0]
row["image"] # PIL image
row["objects"]["bbox"] # list of [x, y, w, h]
row["objects"]["category"] # list of class names
```
## Data collection & annotation
1. **Source.** Publicly published ARDB daily market-price bulletins, rendered page-by-page at
200 DPI.
2. **Pre-annotation.** Candidate boxes were generated automatically with a document-layout
detector and confidence-filtered, then mapped to the five-class set above.
3. **Human correction.** Every page was reviewed and corrected in Roboflow: fragmented table
regions merged to one box per page, box edges tightened, mislabels fixed, and spurious boxes
removed. All final annotations carry `score = 1.0`.
4. **Splitting.** Splits are assigned **by document** (no bulletin's pages appear in more than
one split) to prevent near-duplicate-page leakage. Assignment is deterministic.
## Limitations
- **Single template.** All bulletins share one recurring page layout, so the validation and test
splits measure annotation quality rather than generalization across document designs.
- **Small scale.** 91 pages / 30 documents; suitable for fine-tuning and evaluation on this
document family, not as a general-purpose layout corpus.
## License
The **annotations** in this dataset (bounding boxes, class labels, and metadata) are released
under **CC BY-NC 4.0** — free to use for non-commercial research with attribution. The **page
images** are reproductions of bulletins published by ARDB; they are included for research use
only, and users are responsible for complying with the source documents' terms. This dataset is
not affiliated with or endorsed by ARDB.