# Infinity-Doc-55K
Paper |
Github |
💬 Web Demo
# Overview
Infinity-Doc-55K is a high-quality diverse full-text parsing dataset, comprising 55,066 real-world and synthetic scanned documents. The dataset features rich layout variations and comprehensive structural annotations, enabling robust training of document parsing models. Additionally, this dataset encompasses a broad spectrum of document types, including financial reports, medical reports, academic reports, books, magazines, web pages, and synthetic documents.
# Data Construction Pipeline
To construct a comprehensive dataset for document parsing, we integrate both real-world and synthetic data generation pipelines. Our real-world data pipeline collects diverse scanned documents from various practical domains (such as financial reports, medical records, and academic papers), employing a multi-expert strategy with cross-validation to generate reliable pseudo-ground-truth annotations for structural elements like text, tables, and formulas. Complementing this, our synthetic data pipeline programmatically creates a wide array of documents by injecting content from sources like Wikipedia into predefined HTML layouts, rendering them into scanned formats, and extracting precise ground-truth annotations directly from the original HTML. This dual approach yields a rich, diverse, and cost-effective dataset with accurate and well-aligned supervision, effectively overcoming common issues of imprecise or inconsistent labeling found in other datasets and enabling robust training for end-to-end document parsing models.
# Data Statistics
Due to company policy constraints, we are currently open-sourcing only a portion of the training data. The statistics are as follows:
| Document Type | Samples Number | BBox and Reading Order |
| :---: | :---: | :---: |
| Synthetic Documents | 6546 | ✓ |
| Financial Reports | 2000 ||
| Medical Reports | 2000 ||
| Academic Papers | 5979 ||
| Books | 1749 ||
| Magazines | 1688 ||
| Web Pages | 2000 ||
| All | 21962 ||
The full dataset will be released in the future. We appreciate your understanding.
# Data Format
Full-page document parsing format:
```json
[
{
"images": ["path/to/image"],
"conversations": [
{
"from": "human",
"value": "prompt"
},
{
"from": "gpt",
"value": "ground_truth"
}
],
"attributes": {
"document_type": "document_type",
"task": "task"
}
},
...
]
```
Layout analysis and reading order format:
```json
[
{
"images": ["path/to/image"],
"form": [
{
"category": "The category is in [\"title\", \"plain_text\", \"table\", \"table_caption\", \"figure\", \"figure_caption\", \"header\", \"footer\"]"
"bbox": [x1, y1, x2, y2],
"text": "content of the element",
"html": "table html"
},
...
]
},
...
]
```
Note that the elements in 'form' are sorted in reading order.
# License
This dataset is licensed under cc-by-nc-sa-4.0.