joon-extend's picture
RealDocBench-Layout v1 (squashed)
ef950f6
|
raw
history blame
2.23 kB
---
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")
```
## Caveats
**Mixed image formats.** 197 of the 1,500 images carry a `.png` extension
but their actual byte stream is WebP (171), GIF (23), or BMP (3). They
render correctly in PIL / browsers, but services that validate the magic
bytes (AWS Textract, Azure Document Intelligence) will reject them
without a transcode step. Re-encoding to true PNG with dimensions
preserved is a lossless one-liner.
## License
Annotations: CC-BY-4.0. Page images carry their original per-source
licenses; the manifest's `sourceUrl` column points back to each one.