Duplicate from OleehyO/latex-formulas

Co-authored-by: 三洋三洋 <OleehyO@users.noreply.huggingface.co>

.gitattributes

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+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
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+*.mp3 filter=lfs diff=lfs merge=lfs -text
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+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
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+*.webp filter=lfs diff=lfs merge=lfs -text
+raw_formulas.jsonl filter=lfs diff=lfs merge=lfs -text
+common_formulas.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: openrail
+task_categories:
+- image-to-text
+tags:
+- ocr
+- latex-ocr
+- image2latex
+dataset_info:
+- config_name: cleaned_formulas
+  features:
+  - name: image
+    dtype: image
+  - name: latex_formula
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 2918992848.46
+    num_examples: 552340
+  download_size: 2778067493
+  dataset_size: 2918992848.46
+- 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: cleaned_formulas
+  data_files:
+  - split: train
+    path: cleaned_formulas/train-*
+- config_name: raw_formulas
+  data_files:
+  - split: train
+    path: raw_formulas/train-*
+---
+
+# 𝑩𝑰𝑮 𝑵𝑬𝑾𝑺‼️
+
+📮 [2025-08] We have updated to a larger dataset, which contains nearly 80 million samples, with significant improvements in both data quality and diversity. **[[link](https://huggingface.co/datasets/OleehyO/latex-formulas-80M)]**
+
+📮 [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.

README_zh.md

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+---
+license: openrail
+task_categories:
+- image-to-text
+---
+
+# 大新闻‼️
+
+📮 [2025-08] 我们更新了一个更大的数据集，包含了将近80M个样本，并且数据质量和数据多样性有了显著的提升。 **[[link](https://huggingface.co/datasets/OleehyO/latex-formulas-80M)]**
+
+📮 [2024-02] 我们使用latex-formulas数据集训练了一个公式识别模型[TexTeller](https://github.com/OleehyO/TexTeller?tab=readme-ov-file)，它可以将latex公式转换为图片，并且有着**很高的准确率**以及**很强的泛化能力**，可以**覆盖大部分公式识别场景**。
+
+> 详情信息请参阅[TexTeller的github仓库](https://github.com/OleehyO/TexTeller?tab=readme-ov-file)
+
+# Dataset Description
+
+这里有两个数据集：**raw_formulas**和**cleaned_formulas**(这个数据集有*550K*个公式-图片对)。
+
+我们在*arxiv*上爬取了约100万条未经过清洗以及文本分词的latex公式的图片文本对从而得到了*raw_formulas*数据集。
+在将*raw_formulas*数据集进行**清洗**并加入[im2latex-100K](https://zenodo.org/records/56198#.V2px0jXT6eA)数据集后得到了*cleaned_formulas*数据集（一个具有*550K*公式-图片对的数据集）。
+
+渲染公式对应的图片时，需要用到以下外部包：
+* amsmath
+* amsfonts
+* amssymb
+* mathtools
+
+## 用法
+加载 **raw_formulas** 数据集:
+
+```python 
+from datasets import load_dataset
+data = load_dataset("OleehyO/latex-formulas", "raw_formulas") 
+```
+
+加载 **cleaned_formulas** 数据集:
+```python
+from datasets import load_dataset
+data = load_dataset("OleehyO/latex-formulas", "cleaned_formulas") 
+```
+
+## 有关*raw_formulas*数据集的一些细节
+我们爬取了包含以下公式环境的latex公式:
+  * equation
+  * align
+  * align*
+  * gather
+  * gather*
+
+公式中不存在以下内容：
+  * \label
+  * %
+  * \quad
+  * \qquad
+  * \vspace
+  * \hspace
+  * \resizebox
+  * \scalebox
+  * \rotatebox
+  * \parbox
+  * \fbox
+  * \makebox
+  * \raisebox
+  * \addvspace
+  * \hfill
+  * \vfill
+  * \textwidth
+  * \textheight
+  * \rule
+
+## *cleaned_formulas*数据集的一些预处理细节
+### 清洗
+* 我们删除了*raw_formulas*和[im2latex-100K](https://zenodo.org/records/56198#.V2px0jXT6eA)中一些无用的垃圾数据
+* 我们删除了*raw_formulas*和[im2latex-100K](https://zenodo.org/records/56198#.V2px0jXT6eA)中过于复杂的公式：
+  * 公式对应的渲染图片高宽比如果大于0.8，那么公式会被删除
+  * 字符长度大于200的公式被删除了
+* 在*raw_formulas*和[im2latex-100K](https://zenodo.org/records/56198#.V2px0jXT6eA)的公式中，以下内容被删除了：
+  * \tag
+  * \text
+  * \begin{split}
+  * \end{split}
+  * \nonumber
+  * \notag
+* *raw_formulas*和中的`equation、equation*、align、\[...\]`公式环境均被替换成了`align*`公式环境
+* 我们删除了*raw_formulas*中包含自定义宏的公式。

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