GreenOCR-Dataset / README.md
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---
pretty_name: GreenOCR-Dataset
license: other
language:
- vi
- en
task_categories:
- image-to-text
- image-text-to-text
tags:
- ocr
- document-parsing
- layout-analysis
- synthetic
- vietnamese
size_categories:
- 100K<n<1M
configs:
- config_name: preview
default: true
data_files:
- split: article
path: preview/article.parquet
- split: contract
path: preview/contract.parquet
- split: exam_paper
path: preview/exam_paper.parquet
- split: finreport
path: preview/finreport.parquet
- split: invoice
path: preview/invoice.parquet
- split: legal
path: preview/legal.parquet
- split: paper
path: preview/paper.parquet
- split: slides
path: preview/slides.parquet
- split: standardbook
path: preview/standardbook.parquet
- split: textbook
path: preview/textbook.parquet
- split: webcode
path: preview/webcode.parquet
- split: wikimedia
path: preview/wikimedia.parquet
- split: handwriting
path: preview/handwriting.parquet
- split: form
path: preview/form.parquet
- split: handnotes
path: preview/handnotes.parquet
---
# GreenOCR-Dataset
Synthetic document pages for training OCR / document-parsing models, mainly Vietnamese with an English counterpart. Each page comes with
exact ground truth (block polygons and content) and a ready-to-train target in the LightOnOCR-3 grounding format. The pages are rendered,
not real scans; the `augment` parts are degraded variants (scan / phone / old-paper look).
Every type has three parts: `vi` and `en` (clean pages) and `augment` (degraded pages, Vietnamese and English mixed). `slides` has a fourth
part, `bilingual`: slides that mix Vietnamese and English text.
| Type | Pages `vi` / `en` / `augment` | Total | What |
|---|---|---:|---|
| `article` | 11,153 / 4,152 / 6,054 | 21,359 | Magazine / newspaper pages |
| `paper` | 7,979 / 3,890 / 4,241 | 16,110 | Scientific-paper pages |
| `legal` | 8,214 / 3,694 / 4,297 | 16,205 | Legal-document pages |
| `wikimedia` | 4,616 / 1,646 / 9,636 | 15,898 | Encyclopedia-style pages |
| `webcode` | 3,241 / 1,637 / 10,500 | 15,378 | Rendered web pages |
| `standardbook` | 4,357 / 3,058 / 13,673 | 21,088 | Book pages |
| `contract` | 14,401 / 9,922 / 11,368 | 35,691 | Company contracts |
| `finreport` | 9,903 / 8,756 / 10,000 | 28,659 | Financial statements and annual-report pages |
| `invoice` | 19,590 / 8,220 / 6,983 | 34,793 | Invoices, receipts, stock slips, utility bills, plus handwritten vouchers and filled forms |
| `slides` | 22,458 / 13,672 / 12,673, plus 15,011 `bilingual` | 63,814 | Presentation slides |
| `textbook` | 18,077 / 6,818 / 11,740 | 36,635 | School textbook pages |
| `exam_paper` | 13,710 / 6,830 / 5,622 | 26,162 | School exam papers, some filled in by hand; an option the student marked is written `A*.` in the target |
| `handwriting` | 21,597 / 9,652 / 15,590 | 46,839 | Handwritten documents |
| `form` | 10,425 / 7,272 / 12,737 | 30,434 | Forms filled in by hand; check boxes are written `☐` / `☑` |
| `handnotes` | 4,497 / 3,561 / 9,815 | 17,873 | Handwritten notes |
426,938 pages in total.
## Preview
The Dataset Viewer shows `preview/<type>.parquet`: about 100 example pages per type with their target (JPEG, long side up to 1400 px).
The pages are examples, not a random sample; the full set is in the parts below.
## Layout
```
<type>/<part>/
images-000.tar, images-001.tar, ... page images (members "images/..."), PNG / JPG
gt.tar one .md file per page (the target, for reading)
shards.tar per-shard records (same schema as GroundTruth.jsonl)
GroundTruth.jsonl full record per page (polygons, blocks, target)
lighton.jsonl {"image_path", "target_lighton"}
```
Extract inside a part directory with `for t in *.tar; do tar xf $t; done`; `image_path` is then valid relative to that directory.
## Ground truth
`target_lighton` is the page as LightOnOCR-3 grounding text, one block per paragraph in reading order:
```
![header](85,50,166,50,166,62,85,62) BÁO BÌNH MINH
![title](198,105,792,105,792,250,198,250) # Việt Nam là đối tác thương mại quan trọng nhất của Phần Lan ở Đông Nam Á
![text](100,252,892,252,892,289,100,289) Các cấp lãnh đạo Phần Lan ...
```
`![label](x1,y1,x2,y2,x3,y3,x4,y4)` gives the four corners of the block: top-left, top-right, bottom-right, bottom-left of the block as
printed, x normalised to the page width and y to the page height, 0..1000. On a tilted or rotated page the box turns with the text. A `+` after the label (`text+`) marks a block continued from a column or
page break. Content is Markdown, tables are HTML, formulas LaTeX; a chart is given as its data table, an image as a short description,
a diagram as Mermaid.
Labels: text, title, list, table, chart, image, formula, caption, header, footer, page_number, footnote, diagram.
Figure rules:
- chart: the plotted data as an HTML table, with the unit in the value headers.
- table: an HTML table.
- diagram: a ```` ```mermaid ```` block that mermaid 11.4.1 parses.
- image: a short English description. Visible text is quoted verbatim. No description is empty or a placeholder.
- formula: `$$ … $$` LaTeX; inline math and sub/superscripts are `$…$`. A literal dollar sign is written `&dollar;`.
- Decoration (icons, emoji, stickers) is not in the target.
A few images in the wikimedia image tars have no target and are not listed in `lighton.jsonl`.
## Licence
Gated, for internal use. The licence terms will be added later.
## Limitations
Pages are synthetic; do not use this set alone to measure accuracy on real documents. Strong `augment` settings can make small text partly
unreadable while the target still holds it. Some chart values and picture descriptions are estimates and can be wrong.