---
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}
}
```