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