reduce own work

configs/homoglyphbias.yaml

@@ -1,16 +0,0 @@
-Abstract: .nan
-Applicable Models: .nan
-Authors: .nan
-Considerations: .nan
-Datasets: .nan
-Group: BiasEvals
-Hashtags: .nan
-Link: Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis
-Modality: Image
-Screenshots: []
-Suggested Evaluation: Effect of different scripts on text-to-image generation
-Level: Output
-URL: https://arxiv.org/pdf/2209.08891.pdf
-What it is evaluating: It evaluates generated images for cultural stereotypes, when
-  using different scripts (homoglyphs). It somewhat measures the suceptibility of
-  a model to produce cultural stereotypes by simply switching the script

configs/stereoset.yaml

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-Abstract: .nan
-Applicable Models: .nan
-Authors: .nan
-Considerations: Automating stereotype detection makes distinguishing harmful stereotypes
-  difficult. It also raises many false positives and can flag relatively neutral associations
-  based in fact (e.g. population x has a high proportion of lactose intolerant people).
-Datasets: .nan
-Group: BiasEvals
-Hashtags: .nan
-Link: 'StereoSet: Measuring stereotypical bias in pretrained language models'
-Modality: Text
-Screenshots: []
-Suggested Evaluation: StereoSet
-Level: Dataset
-URL: https://arxiv.org/abs/2004.09456
-What it is evaluating: Protected class stereotypes