Update

README.md

@@ -5,7 +5,7 @@ task_categories:
 - question-answering
 language:
 - en
-pretty_name: MathText
+pretty_name: AutoMathText
 size_categories:
 - 10B<n<100B
 configs:
@@ -58,19 +58,36 @@ tags:
 
 # MathText
 
-MathText is an extensive and carefully curated dataset encompassing **200 GB** of mathematical texts. It's a unique compilation sourced from a diverse range of platforms including various websites, arXiv, and GitHub (OpenWebMath, RedPajama, Algebraic Stack). This rich repository has been **autonomously labeled by the state-of-the-art open-sourced language model**, Qwen-72B. Each piece of content in the dataset is assigned **a score `lm_q1q2_score` within the range of [0, 1]**, reflecting its relevance, quality and educational value in the context of mathematical intelligence.
+MathText is an extensive and carefully curated dataset encompassing **200 GB** of mathematical texts. It's a unique compilation sourced from a diverse range of platforms including various websites, arXiv, and GitHub (OpenWebMath, RedPajama, Algebraic Stack). This rich repository has been **autonomously selected (labeled) by the state-of-the-art open-sourced language model**, Qwen-72B. Each piece of content in the dataset is assigned **a score `lm_q1q2_score` within the range of [0, 1]**, reflecting its relevance, quality and educational value in the context of mathematical intelligence.
 
 ## Objective
 
 The primary aim of the MathText dataset is to provide a comprehensive and reliable resource for a wide array of users - from academic researchers and educators to AI practitioners and mathematics enthusiasts. This dataset is particularly geared towards:
 
-- Facilitating advanced research in the intersection of mathematics and artificial intelligence.
-- Serving as an educational tool for learning and teaching complex mathematical concepts.
-- Providing a robust foundation for developing and training AI models specialized in processing and understanding mathematical content.
+- Facilitating advanced research in **the intersection of mathematics and artificial intelligence**.
+- Serving as an educational tool for **learning and teaching complex mathematical concepts**.
+- Providing **a foundation for developing and training AI models** specialized in processing and understanding **mathematical content**.
 
 ## Features
 
-- **Volume**: Approximately 200 GB of text data.
+- **Volume**: Approximately 200 GB of text data (in natural language and programming language).
 - **Content**: A diverse collection of mathematical texts, including but not limited to research papers, educational articles, and code documentation.
-- **Labeling**: Every text is scored by Qwen-72B, a sophisticated language model, ensuring a high standard of relevance and accuracy.
-- **Scope**: Covers a wide spectrum of mathematical topics, making it suitable for various applications in research and education.
+- **Labeling**: Every text is **scored** by Qwen-72B, a sophisticated language model, ensuring a high standard of relevance and accuracy.
+- **Scope**: Covers a wide spectrum of mathematical topics, making it suitable for various applications in advanced research and education.
+
+## References
+
+- OpenWebMath [(link)]()
+- Redpajama [(link)]()
+- Algebraick Stack [(link)]()
+
+## Citation 
+We appreciate your use of MathText in your work. If you find this repository helpful, please consider citing it and star this repo. Feel free to contact zhangyif21@tsinghua.edu.cn or open an issue if you have any questions.
+
+```bibtex
+@misc{automathtext2024,
+      title={AutoMathText: Autonomous Data Selection with Language Models for Mathematical Texts},
+      author={Zhang, Yifan and Luo, Yifan},
+      year={2024},
+}
+```