README.md

---
license: odc-by
language:
  - en
pretty_name: OCR-Annotations
size_categories:
  - n>1T
---


![image](https://cdn-uploads.huggingface.co/production/uploads/626ede24d2fa9e7d598c8709/R4lxpFbeNP0H7xZbtXj9X.png)

# PDF OCR Classification Dataset

This dataset contains PDF documents with annotations for OCR classification tasks.

## Dataset Description

- **Total samples**: 1620
- **Classes**: OCR (requires OCR processing), NOCR (no OCR needed)

## Dataset Structure

Each row contains:
- `filename`: Original PDF filename
- `pdf`: PDF file as binary data (using Pdf feature type)
- `class`: Binary classification label (OCR/NOCR)
- `truncation_type`: Whether the PDF is truncated or non-truncated
- `pdf_size_bytes`: Size of the PDF file in bytes

## Class Distribution

class
NOCR    1393
OCR      227

## Usage

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("HuggingFaceFW/ocr-annotations")

# Access train split
train_data = dataset['train']

# Access a sample
sample = train_data[0]
pdf_bytes = sample['pdf']  # This will be bytes
label = sample['class']
```

## License

Please check the original data source for licensing information.