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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
Project Samples
Categories
Natural Language Processing (NLP)License
Apache License V2.0Follow BEIR
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