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Update_S-Eval_v0.1.2

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Files changed (2) hide show
  1. constants.py +1 -1
  2. requirements.txt +13 -13
constants.py CHANGED
@@ -33,7 +33,7 @@ XLSX_DIR = "./file//results.xlsx"
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  LEADERBOARD_INTRODUCTION = """# πŸ† S-Eval Leaderboard
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  ## πŸ”” Updates
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  πŸ“£ [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 [πŸ† LeaderBoard v0.1.2](https://huggingface.co/spaces/IS2Lab/S-Eval_v0.1.2) with new evaluation results including GPT-4 and other models.
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- πŸŽ‰ S-Eval has about 7,000 total views and about 2,000 total downloads across multiple platforms πŸŽ‰.
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  πŸ“£ [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]).
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  LEADERBOARD_INTRODUCTION = """# πŸ† S-Eval Leaderboard
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  ## πŸ”” Updates
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  πŸ“£ [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 [πŸ† LeaderBoard v0.1.2](https://huggingface.co/spaces/IS2Lab/S-Eval_v0.1.2) with new evaluation results including GPT-4 and other models.
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+ πŸŽ‰ S-Eval has about **7,000** total views and about **2,000** total downloads across multiple platforms πŸŽ‰.
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  πŸ“£ [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]).
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requirements.txt CHANGED
@@ -1,16 +1,16 @@
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- APScheduler==3.10.1
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- black==23.11.0
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- click==8.1.3
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- datasets==2.14.5
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  gradio
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  gradio_client
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- huggingface-hub>=0.18.0
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- matplotlib==3.7.1
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- numpy==1.24.2
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- openpyxl==3.1.2
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- pandas==2.0.0
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- plotly==5.14.1
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- python-dateutil==2.8.2
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- requests==2.28.2
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  sentencepiece
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- tqdm==4.65.0
 
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+ APScheduler
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+ black
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+ click
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+ datasets
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  gradio
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  gradio_client
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+ huggingface-hub
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+ matplotlib
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+ numpy
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+ openpyxl
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+ pandas
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+ plotly
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+ python-dateutil
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+ requests
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  sentencepiece
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+ tqdm