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

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License

Apache License V2.0

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BEIR Web Site

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Additional Project Details

Programming Language

Python

Related Categories

Python Natural Language Processing (NLP) Tool

Registered

2025-01-22