Improve dataset card: Add associated papers, GitHub, project page links, and tags

README.md

@@ -1,4 +1,19 @@
 ---
+language:
+- en
+- zh
+license: apache-2.0
+size_categories:
+- n>1T
+task_categories:
+- text-generation
+pretty_name: Ultra-FineWeb
+tags:
+- llm
+- pretraining
+- web-corpus
+- data-filtering
+- high-quality
 configs:
 - config_name: default
   data_files:
@@ -13,16 +28,8 @@ configs:
     dtype: float
   - name: source
     dtype: string
-task_categories:
-- text-generation
-language:
-- en
-- zh
-pretty_name: Ultra-FineWeb
-size_categories:
-- n>1T
-license: apache-2.0
 ---
+
 # Ultra-FineWeb
 
 <div align="center">
@@ -35,8 +42,7 @@ English | [简体中文]()
 
 <div align="center">
 
-[📜 Technical Report](https://arxiv.org/abs/2505.05427) 
-<!-- | [💻 Github Repo]() -->
+[📜 Ultra-FineWeb Technical Report](https://arxiv.org/abs/2505.05427) | [📄 MiniCPM4 Paper](https://huggingface.co/papers/2506.07900) | [💻 GitHub Repository](https://github.com/openbmb/minicpm) | [🌐 MiniCPM4 Project Page](https://huggingface.co/collections/openbmb/minicpm-4-6841ab29d180257e940baa9b)
 
 </div>
 
@@ -110,6 +116,14 @@ If you find our work useful, please consider citing:
   primaryClass={cs.CL},
 }
 ```
+And the main paper where Ultra-FineWeb is used:
+```bibtex
+@article{minicpm4,
+  title={MiniCPM4: Ultra-Efficient LLMs on End Devices},
+  author={MiniCPM Team},
+  year={2025}
+}
+```
 
 ## 💳 License