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# Portuguese OCR Dataset
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A comprehensive dataset for Portuguese OCR (Optical Character Recognition) generated from classic Portuguese literature with diverse fonts and visual styles.
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## Dataset Description
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This dataset contains 20000 text images for OCR training, created from Portuguese books from Project Gutenberg. Each image contains a complete Portuguese sentence with proper punctuation, rendered with various fonts, backgrounds, and visual styles.
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### Features
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- **Multiple Text Sources**: Classic Portuguese literature from Project Gutenberg
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- **Complete Sentences**: Full sentences with proper punctuation and grammar
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- **Font Variety**: Multiple fonts from Google Fonts collection
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- **Visual Diversity**: Various backgrounds, font sizes, colors, and slight rotations
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- **High Quality**: 1200×150 pixel images (or taller for wrapped text)
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## Dataset Splits
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| Split | Number of Samples |
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|-------|------------------|
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| Train | 16000 |
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| Validation | 2000 |
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| Test | 2000 |
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| **Total** | 20000 |
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## Example Sentences
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- Ha um cão vadio, sujo e com fome, cuida-se deste cão e ele deixa de ser vadio, deixa de estar sujo e deixa de ter fome.
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- Um affago previo tempera as traições.
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- Demais, eu tenho algodão nos ouvidos, talvez ouvisse mal, repete o que disseste.
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## Image Specifications
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- **Resolution**: 150×1200 pixels
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- **Color**: RGB
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- **Format in HDF5**: Numpy arrays
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- **Average text length**: 82.8 characters
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## Usage Example
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```python
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import h5py
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import numpy as np
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from PIL import Image
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import matplotlib.pyplot as plt
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# Load the dataset
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with h5py.File('train_dataset.h5', 'r') as f:
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# Access images and texts
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images = f['images'][:]
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texts = [t.decode('utf-8') if isinstance(t, bytes) else t for t in f['texts'][:]]
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# Display a sample
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idx = np.random.randint(0, len(images))
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print(f"Text: {texts[idx]}")
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plt.figure(figsize=(12, 3))
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plt.imshow(images[idx])
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plt.axis('off')
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plt.show()
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```
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## Dataset Creation Process
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This dataset was created through the following steps:
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1. Downloaded and extracted text from Portuguese books via Project Gutenberg
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2. Cleaned and extracted complete sentences with proper punctuation
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3. Generated images with random:
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- Fonts (from Google Fonts collection)
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- Background styles (solid, gradient, noise, pattern)
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- Text positions and slight rotations
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- Font sizes (30-45px)
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- Text colors (dark tones for readability)
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4. Split into train (80%), validation (10%), and test (10%) sets
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## License
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This dataset is derived from public domain books from Project Gutenberg and open-source fonts from Google Fonts. It is released under the Creative Commons Attribution 4.0 International License (CC-BY 4.0).
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## Citation
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If you use this dataset in your research, please cite it as:
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```
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@dataset{portuguese_ocr_dataset,
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author = {mazafard},
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title = {Portuguese OCR Dataset},
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year = {2025},
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publisher = {Hugging Face},
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url = {https://huggingface.co/datasets/mazafard/portuguese-ocr-dataset}
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}
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```
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## Acknowledgments
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- Text sources: Project Gutenberg (https://gutenberg.org/)
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- Fonts: Google Fonts (https://fonts.google.com/)
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