--- 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.