Update README.md

README.md

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+---
+
+Here's a suggested `README.md` for your Hugging Face dataset repository based on the dataset name, structure, and sample content from the screenshot:
+
+---
+# Latex-KIE Dataset
+
+The **Latex-KIE** dataset is a large-scale collection of paired LaTeX formula images and their corresponding LaTeX code. It is specifically designed for training and evaluating models for **Image-to-LaTeX**, **Key Information Extraction (KIE)**, and **Optical Character Recognition (OCR)** tasks in scientific domains.
+
+---
+
+## 📊 Dataset Summary
+
+- **Images**: Rendered LaTeX math formulas (black text on white background)
+- **Text**: Corresponding raw LaTeX code for each image
+- **Split**: `train`
+- **Total Samples**: 92,057
+- **Format**: Parquet (`.parquet`)
+- **Size**: ~439 MB
+
+---
+
+## 🧾 Data Fields
+
+Each data sample consists of:
+
+| Column         | Type       | Description                              |
+|----------------|------------|------------------------------------------|
+| `image`        | Image      | Rendered image of the LaTeX formula      |
+| `latex_formula`| `string`   | Corresponding LaTeX string representation|
+
+---
+
+## 📂 Example
+
+```json
+{
+  "image": "<Rendered Image of LaTeX>",
+  "latex_formula": "\\begin{align*} L_{N,M,N} = \\frac{1}{N^d} \\sum ... \\end{align*}"
+}
+```
+
+---
+
+## 🧠 Use Cases
+
+This dataset is intended for:
+
+- Training models for **Image-to-LaTeX generation**
+- Key Information Extraction (KIE) from scientific formulas
+- Benchmarking OCR models on scientific/math notation
+- Pretraining/fine-tuning Transformer or CNN-based encoders for math-to-text generation
+
 ---