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--- |
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license: apache-2.0 |
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task_categories: |
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- image-to-text |
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language: |
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- en |
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tags: |
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- OCR |
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- KIE |
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- Latex |
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- code |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Latex-KIE Dataset |
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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. |
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--- |
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## 📊 Dataset Summary |
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- **Images**: Rendered LaTeX math formulas (black text on white background) |
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- **Text**: Corresponding raw LaTeX code for each image |
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- **Split**: `train` |
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- **Total Samples**: 92,057 |
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- **Format**: Parquet (`.parquet`) |
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- **Size**: ~439 MB |
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--- |
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## 🧾 Data Fields |
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Each data sample consists of: |
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| Column | Type | Description | |
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|----------------|------------|------------------------------------------| |
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| `image` | Image | Rendered image of the LaTeX formula | |
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| `latex_formula`| `string` | Corresponding LaTeX string representation| |
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--- |
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## 📂 Example |
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```json |
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{ |
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"image": "<Rendered Image of LaTeX>", |
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"latex_formula": "\\begin{align*} L_{N,M,N} = \\frac{1}{N^d} \\sum ... \\end{align*}" |
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} |
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``` |
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## 🧠 Use Cases |
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This dataset is intended for: |
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- Training models for **Image-to-LaTeX generation** |
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- Key Information Extraction (KIE) from scientific formulas |
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- Benchmarking OCR models on scientific/math notation |
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- Pretraining/fine-tuning Transformer or CNN-based encoders for math-to-text generation |
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--- |
