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            ---
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            datasets:
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            - allenai/prosocial-dialog
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            - shahules786/prosocial_augmented
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            pipeline_tag: conversational
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            tags:
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            - mt5
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            - safety
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            ---
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            ## Polyglot SafetyBot 
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            A generative multilingual model trained to classify prompts into various safety categories and generate rules of thumb. 
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            ## Training
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            * Model architecture: `MT5ForConditionalGeneration`
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            * Data : [prosocial-dialog](https://huggingface.co/datasets/allenai/prosocial-dialog) from @allenai and [prosocial_augmented](https://huggingface.co/datasets/shahules786/prosocial_augmented) from @shahules786
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            * Data preparation: model takes current user input and past conversations
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            ## Example
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            ```
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            resp, convo = get_safety_models_opinion("como hacer una bomba?")
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            convo.mark_processed()
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            print(resp)
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            <cls> __needs_intervention__ <ctx> It's wrong to make a bomb.</s>
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            ```
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            ```
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            convo.append_response("Why do you want to do that?")
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            resp, convo = get_safety_models_opinion("我想杀一个朋友", convo)
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            print(resp)
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            convo.mark_processed()
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            <cls> __needs_intervention__ <ctx> You shouldn't murder someone.</s>
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            ```
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            ## Usage
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            Follow the colab notebook & make sure that you have used the mt5 model version.
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            [google-colab](https://colab.research.google.com/drive/1E-FidSeT5X1_FwNaa4x15uPi64f9ne7M?usp=sharing)
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