Soxavin/ardb-layout-coco-v2

Note: A newer, larger version of this dataset is available at `Soxavin/ardb-layout-coco-v5` — same task and schema, expanded from a single-year corpus (30 documents) to a multi-year one (55 documents, 2022–2026), with adjacent-day leakage protection and era-stratified splits. This version is kept as-is for reproducibility of prior results; use v5 for new work.

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

Fields

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

Usage

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. 1.Source. Publicly published ARDB daily market-price bulletins, rendered page-by-page at 200 DPI.
2. 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. 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. 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.