UnSafeSets

  • Idea Title: UnSafeSets
  • Idea Description: Real-world datasets to train models on harmful content are silo-ed and insufficient to support emerging platform needs. We propose UnSafeSets: generating synthetic datasets to train models on harmful, high sensitivity + low prevalence content.
  • Contributors: Sandeep Abraham, Michael Chen, Kwynn Gonzalez-Pons, Katie Harbath, Alan Kyle, Vaishnavi J
  • Points of contact: kwynn.gonzalezpons@gmail.com, hello@vyanams.com, Michael Chen, Sandeep Abraham Alan Kyle

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