Upload folder using huggingface_hub

README.md

@@ -30,7 +30,7 @@ size_categories:
 <div align="center">
 
 [![HF Dataset](https://img.shields.io/badge/HF-Dataset-yellow?logo=huggingface&logoColor=white)](https://huggingface.co/datasets/caskcsg/LongBench-Pro) &nbsp;&nbsp;
-[![Github Code](https://img.shields.io/badge/Github-Code-blue?logo=github&logoColor=white)](https://github.com/caskcsg/longcontext/tree/main/LongBench_Pro) &nbsp;&nbsp;
+[![Github Code](https://img.shields.io/badge/Github-Code-blue?logo=github&logoColor=white)](https://github.com/caskcsg/longcontext/tree/main/LongBench-Pro) &nbsp;&nbsp;
 [![Leaderboard](https://img.shields.io/badge/🏆-Leaderboard-red)](https://huggingface.co/spaces/caskcsg/LongBench-Pro-Leaderboard) &nbsp;&nbsp;
 [![Paper](https://img.shields.io/badge/📄-Arxiv_Paper-green)]()
 
@@ -40,7 +40,7 @@ size_categories:
 
 **LongBench-Pro**, containing **1,500 samples**, is entirely built on **authentic, natural long documents** and includes **11 primary tasks and 25 secondary tasks**, covering all long-context capabilities assessed by existing benchmarks. It employs **diverse evaluation metrics**, enabling a more fine-grained measurement of model abilities, and provides a balanced set of **bilingual samples in both English and Chinese**. 
 
-In addition, **LongBench-Pro** introduces a multi-dimensional taxonomy to support a comprehensive evaluation of models under different operating conditions:
+In addition, **LongBench Pro** introduces a multi-dimensional taxonomy to support a comprehensive evaluation of models under different operating conditions:
 
 - **Context Requirement**: *Full* context (global integration) versus *Partial* context (localized retrieval);
 - **Length**: Six lengths uniformly distributed from *8k to 256k* tokens, used to analyze scaling behavior;
@@ -100,7 +100,7 @@ dataset = load_dataset('caskcsg/LongBench-Pro', split='test')
 
 ### Evaluation
 
-Please refer to our [Github Repo]() for automated evaluation.
+Please refer to our [Github Repo](https://github.com/caskcsg/longcontext/tree/main/LongBench-Pro) for automated evaluation.
 
 ## 📖 Citation