Datasets:
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---
license: openrail
task_categories:
- image-to-text
tags:
- ocr
- latex-ocr
- image2latex
dataset_info:
config_name: raw_formulas
features:
- name: latex_formula
dtype: string
splits:
- name: train
num_bytes: 240965616
num_examples: 1006245
download_size: 89507618
dataset_size: 240965616
configs:
- config_name: raw_formulas
data_files:
- split: train
path: raw_formulas/train-*
---
# 𝑩𝑰𝑮 𝑵𝑬𝑾𝑺‼️
📮 [2𝟎2𝟒-𝟎2] We trained a formula recognition model, [𝐓𝐞𝐱𝐓𝐞𝐥𝐥𝐞𝐫](https://github.com/OleehyO/TexTeller?tab=readme-ov-file), using the latex-formulas dataset. It can convert LaTeX formulas into images and boasts **high accuracy** and **strong generalization capabilities**, covering **most formula recognition scenarios**.
> For more details, please refer to the [𝐓𝐞𝐱𝐓𝐞𝐥𝐥𝐞𝐫 GitHub repository](https://github.com/OleehyO/TexTeller?tab=readme-ov-file).
# Dataset Description
> [中文版本](./README_zh.md)
There are two datasets: **raw_formulas** and **cleaned_formulas**(This dataset has **550K formula-image pairs**).
We scraped approximately 1 million LaTeX formula image-text pairs from *arxiv* that were uncleaned and without text segmentation to create the *raw_formulas* dataset. After cleaning the *raw_formulas* dataset and integrating it with the [im2latex-100K](https://zenodo.org/records/56198#.V2px0jXT6eA) dataset, we obtained the *cleaned_formulas* dataset, which has **550K** formula-image pairs.
To render the images corresponding to the formulas, the following external packages are needed:
* amsmath
* amsfonts
* amssymb
* mathtools
## Usage
for **raw_formulas** dataset:
```python
from datasets import load_dataset
data = load_dataset("OleehyO/latex-formulas", "raw_formulas")
```
for **cleaned_formulas** dataset:
```python
from datasets import load_dataset
data = load_dataset("OleehyO/latex-formulas", "cleaned_formulas")
```
## Details About the *raw_formulas* Dataset
We scraped LaTeX formulas containing the following environments:
* equation
* align
* align*
* gather
* gather*
The formulas do not include the following content:
* \label
* %
* \quad
* \qquad
* \vspace
* \hspace
* \resizebox
* \scalebox
* \rotatebox
* \parbox
* \fbox
* \makebox
* \raisebox
* \addvspace
* \hfill
* \vfill
* \textwidth
* \textheight
* \rule
## Preprocessing Details of the *cleaned_formulas* Dataset
### Cleaning
* We removed some useless junk data from both *raw_formulas* and [im2latex-100K](https://zenodo.org/records/56198#.V2px0jXT6eA).
* We deleted overly complex formulas from both *raw_formulas* and [im2latex-100K](https://zenodo.org/records/56198#.V2px0jXT6eA):
* Formulas were deleted if the aspect ratio of the corresponding rendered image was greater than 0.8.
* Formulas with a character length greater than 200 were deleted.
* In the formulas from both *raw_formulas* and [im2latex-100K](https://zenodo.org/records/56198#.V2px0jXT6eA), the following content was removed:
* \tag
* \text
* \begin{split}
* \end{split}
* \nonumber
* \notag
* The `equation`, `equation*`, `align`, `\[...\]` environments in *raw_formulas* were all replaced with the `align*` environment.
* We deleted formulas from *raw_formulas* that contained custom macros.
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