Update README.md

README.md

@@ -10,11 +10,43 @@ dataset_info:
     num_bytes: 17026438.7
     num_examples: 1268
   - name: test
-    num_bytes: 906906.0
+    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-hand"
+# Dataset Card for BigSunOCR
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+## 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}
+}
+```