Datasets:
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---
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}
}
``` |