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

{
  "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

---