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README.md

@@ -23,9 +23,8 @@ configs:
 <div align="center">
 
 [![Paper](https://img.shields.io/badge/Paper-arXiv-red)](https://arxiv.org/abs/2510.17801v1)
-[![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/yulin-luo/RoboBench)
+[![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/lyl750697268/RoboBench)
 [![Project Page](https://img.shields.io/badge/Project-Page-green)](https://robo-bench.github.io/)
-[![Official Results](https://img.shields.io/badge/Results-HuggingFace-orange.svg?style=flat&logo=huggingface&logoColor=black)](https://huggingface.co/datasets/lyl010221-pku/RoboBench-Results)
 [![License](https://img.shields.io/badge/License-CC%20BY%204.0-blue)](https://creativecommons.org/licenses/by/4.0/)
 
 </div>
@@ -34,12 +33,6 @@ configs:
 
 RoboBench is a comprehensive evaluation benchmark designed to assess the capabilities of Multimodal Large Language Models (MLLMs) in embodied intelligence tasks. This benchmark provides a systematic framework for evaluating how well these models can understand and reason about robotic scenarios.
 
-This repository contains the released RoboBench benchmark data. Official score tables and model-output JSON files are hosted separately at:
-
-https://huggingface.co/datasets/lyl010221-pku/RoboBench-Results
-
-The results repository includes CSV exports of the paper tables, coverage audits, and released model-output JSON files for Instruction Comprehension, Perception and Reasoning, Generalized Planning, Affordance Reasoning, and Error Analysis.
-
 ## 🎯 Key Features
 
 - **🧠 Comprehensive Evaluation**: Covers multiple aspects of embodied intelligence
@@ -94,7 +87,7 @@ If you use RoboBench in your research, please cite our paper:
 
 ## 🤝 Contributing
 
-We welcome contributions! Please see our [Contributing Guidelines](https://github.com/yulin-luo/RoboBench) for more details.
+We welcome contributions! Please see our [Contributing Guidelines](https://github.com/lyl750697268/RoboBench) for more details.
 
 ## 📄 License
 
@@ -104,8 +97,7 @@ This dataset is released under the [Creative Commons Attribution 4.0 Internation
 
 - **📄 Paper**: [arXiv:2510.17801](https://arxiv.org/abs/2510.17801v1)
 - **🏠 Project Page**: [https://robo-bench.github.io/](https://robo-bench.github.io/)
-- **💻 Code**: [https://github.com/yulin-luo/RoboBench](https://github.com/yulin-luo/RoboBench)
-- **📊 Official results and model outputs**: [https://huggingface.co/datasets/lyl010221-pku/RoboBench-Results](https://huggingface.co/datasets/lyl010221-pku/RoboBench-Results)
+- **💻 GitHub**: [https://github.com/lyl750697268/RoboBench](https://github.com/lyl750697268/RoboBench)
 
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