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README_zh.md

@@ -6,46 +6,46 @@ task_categories:
 
 # 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**.
+📮 [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**。
 
-> For more details, please refer to the [𝐓𝐞𝐱𝐓𝐞𝐥𝐥𝐞𝐫 GitHub repository](https://github.com/OleehyO/TexTeller?tab=readme-ov-file).
+> 详情信息请参阅[𝐓𝐞𝐱𝐓𝐞𝐥𝐥𝐞𝐫的github仓库](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**).
+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)。
 
-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.
+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）。
 
-To render the images corresponding to the formulas, the following external packages are needed:
+渲染公式对应的图片时，需要用到以下外部包：
 * amsmath
 * amsfonts
 * amssymb
 * mathtools
 
-## Usage
-for **raw_formulas** dataset:
+## 用法
+加载 **raw_formulas** 数据集:
 
 ```python 
 from datasets import load_dataset
 data = load_dataset("OleehyO/latex-formulas", "raw_formulas") 
 ```
 
-for **cleaned_formulas** dataset:
+加载 **cleaned_formulas** 数据集:
 ```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:
+## 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*
 
-The formulas do not include the following content:
+公式中不存在以下内容：
   * \label
   * %
   * \quad
@@ -66,18 +66,18 @@ The formulas do not include the following content:
   * \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:
+## *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
-* 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.
+* *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。