Holistic Evaluation of Language Models
Welcome! The crfm-helm Python package contains code used in the Holistic Evaluation of Language Models project (paper, website) by Stanford CRFM. This package includes the following features:
- Collection of datasets in a standard format (e.g., NaturalQuestions)
- Collection of models accessible via a unified API (e.g., GPT-3, MT-NLG, OPT, BLOOM)
- Collection of metrics beyond accuracy (efficiency, bias, toxicity, etc.)
- Collection of perturbations for evaluating robustness and fairness (e.g., typos, dialect)
- Modular framework for constructing prompts from datasets
- Proxy server for managing accounts and providing unified interface to access models
To get started, refer to the documentation on Read the Docs for how to install and run the package.