The RAGAS++ evaluation framework experienced a 0.10% failure rate on the DROP dataset, 0.00% on RAGTruth, 0.00% on FinanceBench, 0.00% on PubMedQA, and 0.00% on CovidQA, where a failure is defined as the software returning an error instead of a score.

Authors

• Person: Not available Organization: Cleanlab
  Benchmarking Hallucination Detection Methods in RAG - Cleanlab

Sources

• Benchmarking Hallucination Detection Methods in RAG - Cleanlab cleanlab.ai Cleanlab via serper

Referenced by nodes (6)

• RAGAS concept
• CovidQA concept
• DROP concept
• RAGTruth concept
• PubmedQA concept
• FinanceBench concept