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app.py
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@@ -90,7 +90,7 @@ demo = gr.Blocks()
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with demo:
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gr.Markdown("""
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## π₯
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The TOFU dataset is a benchmark designed to evaluate the unlearning performance of large language models in realistic scenarios. This unique dataset consists of question-answer pairs that are based on the autobiographies of 200 fictitious authors, entirely generated by the GPT-4 model. The primary objective of this task is to effectively unlearn a fine-tuned model using different portions of the forget set.
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Read more at [https://locuslab.github.io/tofu/](https://locuslab.github.io/tofu/).
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""")
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with demo:
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gr.Markdown("""
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## π₯ CoTAEval Leaderboard
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The TOFU dataset is a benchmark designed to evaluate the unlearning performance of large language models in realistic scenarios. This unique dataset consists of question-answer pairs that are based on the autobiographies of 200 fictitious authors, entirely generated by the GPT-4 model. The primary objective of this task is to effectively unlearn a fine-tuned model using different portions of the forget set.
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Read more at [https://locuslab.github.io/tofu/](https://locuslab.github.io/tofu/).
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""")
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