Datasets:
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---
license: apache-2.0
task_categories:
- image-to-text
language:
- en
tags:
- OCR
- KIE
- Latex
- code
size_categories:
- 10K<n<100K
---
# 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
--- |