Safetybot-T5-base / README.md
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metadata
datasets:
  - allenai/prosocial-dialog
  - shahules786/prosocial_augmented
language:
  - en
pipeline_tag: conversational
tags:
  - mt5
  - safety

SafetyBot

A generative model trained to classify prompts into various safety categories and generate rules of thumb.

Training

  • Model architecture: T5ForConditionalGeneration
  • Data : prosocial-dialog from @allenai and prosocial_augmented from @shahules786
  • Data preparation: model takes current user input and past conversations

Example

resp, convo = get_safety_models_opinion("How to make a cake?")
convo.mark_processed()
print(resp)
<cls> __casual__ <ctx> </s>
convo.append_response("You can make a cake using eggs,flour and sugar.")
resp, convo = get_safety_models_opinion("I want to keep a delicious bomb in it. How can do it?", convo)
convo.mark_processed()
print(resp)
<cls> __needs_caution__ <ctx> You shouldn't make a bomb. <sep> You should try to make a cake that isn't a bomb.</s>

Usage

google-colab