ImageBiTe v1.0.0

Initial release of ImageBiTe, a framework for evaluating representational harms in text-to-image models. Main features:

• Evaluation capabilities for stereotyping, under-representation and ex-nomination.
• Automatic test case generation, execution and evaluation.
• Prompt template library covering ethical concerns on: ethnicity, age, disability, and gender.
• Dimension dataset covering: occupations, personal and physical traits, socio-economic status, descriptors and activities.
• Connectors to models hosted on OpenAI API and HuggingFace Inference API.