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README.md

@@ -6,11 +6,16 @@ metrics:
 - bleu
 pipeline_tag: image-to-text
 ---
+
+[中文版本](./README_zh.md)
+
 # About TexTeller
-> [中文版本](./README_zh.md)
+
+* 📮[2024-03-25] TexTeller 2.0 released! The training data for TexTeller 2.0 has been increased to 7.5M (about **15 times more** than TexTeller 1.0 and also improved in data quality). The trained TexTeller 2.0 demonstrated **superior performance** in the test set, especially in recognizing rare symbols, complex multi-line formulas, and matrices.
+    > [There](https://github.com/OleehyO/TexTeller/blob/main/assets/test.pdf) are more test images here and a horizontal comparison of recognition models from different companies.
 
 TexTeller is a ViT-based model designed for end-to-end formula recognition. It can recognize formulas in natural images and convert them into LaTeX-style formulas.
 
 TexTeller is trained on a larger dataset of image-formula pairs (a 550K dataset available [here](https://huggingface.co/datasets/OleehyO/latex-formulas)), **exhibits superior generalization ability and higher accuracy compared to [LaTeX-OCR](https://github.com/lukas-blecher/LaTeX-OCR)**, which uses approximately 100K data points. This larger dataset enables TexTeller to cover most usage scenarios more effectively.
 
-> For more details, please refer to the [𝐓𝐞𝐱𝐓𝐞𝐥𝐥𝐞𝐫 GitHub repository](https://github.com/OleehyO/TexTeller?tab=readme-ov-file).
+> For more details, please refer to the 𝐓𝐞𝐱𝐓𝐞𝐥𝐥𝐞𝐫 [GitHub repository](https://github.com/OleehyO/TexTeller?tab=readme-ov-file).

README_zh.md

@@ -1,21 +1,10 @@
----
-license: mit
-datasets:
-- OleehyO/latex-formulas
-metrics:
-- bleu
-pipeline_tag: image-to-text
----
+# 关于TexTeller
 
-[中文版本](./README_zh.md)
+* 📮[2024-03-25] TexTeller2.0发布！TexTeller2.0的训练数据增大到了7.5M(相较于TexTeller1.0**增加了~15倍**并且数据质量也有所改善)。训练后的TexTeller2.0在测试集中展现出了**更加优越的性能**，尤其在生僻符号、复杂多行、矩阵的识别场景中。
+    > 在[这里](https://github.com/OleehyO/TexTeller/blob/main/assets/test.pdf)有更多的测试图片以及各家识别模型的横向对比。
 
-# About TexTeller
+TexTeller是一个基于ViT的端到端公式识别模型，可以把图片转换为对应的latex公式
 
-* 📮[2024-03-25] TexTeller 2.0 released! The training data for TexTeller 2.0 has been increased to 7.5M (about **15 times more** than TexTeller 1.0 and also improved in data quality). The trained TexTeller 2.0 demonstrated **superior performance** in the test set, especially in recognizing rare symbols, complex multi-line formulas, and matrices.
-    > [There](https://github.com/OleehyO/TexTeller/blob/main/assets/test.pdf) are more test images here and a horizontal comparison of recognition models from different companies.
+TexTeller用了~~550K~~7.5M的图片-公式对进行训练(550K的数据集可以在[这里](https://huggingface.co/datasets/OleehyO/latex-formulas)获取)，相比于[LaTeX-OCR](https://github.com/lukas-blecher/LaTeX-OCR)(使用了一个100K的数据集)，TexTeller具有**更强的泛化能力**以及**更高的精确度**，可以**覆盖你大部分的使用场景**。
 
-TexTeller is a ViT-based model designed for end-to-end formula recognition. It can recognize formulas in natural images and convert them into LaTeX-style formulas.
-
-TexTeller is trained on a larger dataset of image-formula pairs (a 550K dataset available [here](https://huggingface.co/datasets/OleehyO/latex-formulas)), **exhibits superior generalization ability and higher accuracy compared to [LaTeX-OCR](https://github.com/lukas-blecher/LaTeX-OCR)**, which uses approximately 100K data points. This larger dataset enables TexTeller to cover most usage scenarios more effectively.
-
-> 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)