BEIR is a benchmark framework for evaluating information retrieval models across various datasets and tasks, including document ranking and question answering.
Features
- Provides a standardized benchmark for IR model evaluation
- Supports multiple datasets and retrieval tasks
- Supports various ranking evaluation metrics
- Works with dense and sparse retrieval models
- Offers plug-and-play integration with transformer-based models
- Includes easy-to-use API for benchmarking retrieval performance
Categories
Natural Language Processing (NLP)License
Apache License V2.0Follow BEIR
Other Useful Business Software
Build Agents and Models on One Platform
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of BEIR!