The data contains a diverse set of prompts covering 70 hypothetical decision scenarios, ranging from approving a loan to providing press credentials.
Each prompt instructs the model to make a binary decision (yes/no)
about a particular person described in the prompt.
Each person is described in terms of three demographic attributes:
age (ranging from 20 to 100 in increments of 10), gender (male, female, non-binary)
, and race… See the full description on the dataset page: https://huggingface.co/datasets/Anthropic/discrim-eval.
