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--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: latex |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 17026438.7 |
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num_examples: 1268 |
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- name: test |
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num_bytes: 906906 |
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num_examples: 70 |
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download_size: 17724298 |
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dataset_size: 17933344.7 |
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task_categories: |
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- image-to-text |
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tags: |
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- handwritten |
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- math |
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- ocr |
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size_categories: |
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- 1K<n<10K |
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--- |
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# Dataset Card for BigSunOCR |
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## Dataset Summary |
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**BigSunOCR** is a dataset designed for training and evaluating Optical Character Recognition (OCR) systems for mathematical formulas, including handwritten, printed, and complex expressions. Developed by [WLHEX INC.](https://www.wlhex.com/) for cost-efficient training and inference, the dataset supports applications in educational and research contexts requiring accurate LaTeX formula recognition. |
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The dataset accompanies a deep learning-based OCR system that builds on CRNN architectures with enhancements to support long LaTeX sequences. It includes: |
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* Handwritten and printed formula images |
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* Corresponding LaTeX labels |
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The full code, pretrained model, and usage instructions are available at: |
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👉 **GitHub**: [https://github.com/Wrste/bigSunOCR](https://github.com/Wrste/bigSunOCR) |
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## Citation |
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If you use this dataset or system in your research, please cite or reference the GitHub repository: |
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``` |
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@misc{BigSunOCR, |
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author = {XingChengFu (bigSun), WLHEX INC.}, |
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title = {BigSunOCR: Deep Learning-based Mathematical Formula OCR Recognition System}, |
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year = 2024, |
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url = {https://github.com/Wrste/bigSunOCR} |
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} |
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``` |
