update_README

constants.py

@@ -34,7 +34,7 @@ LEADERBOARD_INTRODUCTION = """# 🏆 S-Eval Leaderboard
     ## 🔔 Updates
     📣 [2025/03/30]: 🎉 Our paper has been accepted by ISSTA 2025. To meet evaluation needs under different budgets, we partition the benchmark into four scales: [Small](https://github.com/IS2Lab/S-Eval/tree/main/s_eval/small) (1,000 Base and 10,000 Attack in each language), [Medium](https://github.com/IS2Lab/S-Eval/tree/main/s_eval/medium) (3,000 Base and 30,000 Attack in each language), [Large](https://github.com/IS2Lab/S-Eval/tree/main/s_eval/large) (5,000 Base and 50,000 Attack in each language) and [Full](https://github.com/IS2Lab/S-Eval/tree/main/s_eval/full) (10,000 Base and 100,000 Attack in each language), comprehensively considering the balance and harmfulness of data.
     
-    📣 [2024/10/25]: We release all 20,000 base risk prompts and 200,000 corresponding attack prompts ([Version-0.1.2](https://github.com/IS2Lab/S-Eval)). We also update [🏆 LeaderBoard v0.1.2](https://huggingface.co/spaces/IS2Lab/S-Eval_v0.1.2) with new evaluation results including GPT-4 and other models.  
+    📣 [2024/10/25]: We release all 20,000 base risk prompts and 200,000 corresponding attack prompts ([Version-0.1.2](https://github.com/IS2Lab/S-Eval)). We also update [🏆 LeaderBoard](https://huggingface.co/spaces/IS2Lab/S-Eval) with new evaluation results including GPT-4 and other models.  
     🎉 S-Eval has achieved about **7,000** total views and about **2,000** total downloads across multiple platforms. 🎉
 
     📣 [2024/06/17]: We further release 10,000 base risk prompts and 100,000 corresponding attack prompts ([Version-0.1.1](https://github.com/IS2Lab/S-Eval)). If you require automatic safety evaluations, please feel free to submit a request via [Issues](https://huggingface.co/spaces/IS2Lab/S-Eval/discussions) or contact us by [Email](mailto:[email protected]).