Datasets:
File size: 2,368 Bytes
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license: cc-by-4.0
task_categories:
- object-detection
tags:
- document-layout
- layout-analysis
- coco
size_categories:
- 1K<n<10K
configs:
- config_name: default
data_files:
- split: test
path: manifest.csv
---
# RealDocBench-Layout
A 1,500-page document-layout benchmark for evaluating layout-detection
models on real-world documents. COCO-style annotations across **9 block
classes**.
## Contents
- `images/` — 1,500 page images (PNG / JPG / occasional WebP-as-PNG; see Caveats).
- `annotations/<pageId>.json` — per-page COCO files, each with a single
`image` record, an `annotations` list, a `categories` list, and a
`page_info` block.
- `manifest.csv` — pageId → domain + source URLs. The canonical row list.
## Block classes (9)
```
text, heading, section_heading, header, footer, page_number,
figure, table, key_value
```
| class | what it covers |
|---|---|
| `text` | body text and other inline content |
| `heading` | document title |
| `section_heading` | section / subsection titles |
| `header` | running page header |
| `footer` | running page footer |
| `page_number` | page-number indicators |
| `figure` | images, diagrams, charts, barcodes, QR codes |
| `table` | tabular data |
| `key_value` | form fields / key-value pairs |
The companion benchmark loader at
[`extend-hq/realdoc-bench`](https://github.com/extend-hq/realdoc-bench)
walks each annotation file and produces 9-class block predictions; see
`realdoc_bench/layout/normalizers/coco.py`.
## Loading
```python
from huggingface_hub import snapshot_download
path = snapshot_download(repo_id="Extend-AI/RealDocBench-Layout", repo_type="dataset")
```
## License
Annotations: CC-BY-4.0. Page images carry their original per-source
licenses; the manifest's `sourceUrl` column points back to each one.
### Takedown and Opt-out requests
If you are the owner of a document included in this dataset and would like it removed, you can submit a takedown request. We process requests on a monthly cadence and maintain a public manifest of removed records at takedowns/removed_ids.jsonl.
To request removal, open an issue in the Community tab or email [support@extend.ai] with:
A document identifier (filename, URL, or row ID if known), and the scope of removal (specific rows, an entire source document, or all documents from a given source)
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