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Jayan12321/rag-evaluation-benchmark

RAG Evaluation Benchmark & QA Test Suite ๐Ÿ“š A curated ground-truth evaluation benchmark designed to assess Retrieval-Augmented Generation (RAG) pipelines across three primary dimensions: Context Recall: Did the retriever fetch the passage containing the necessary ground-truth facts? Faithfulness: Is the generated answer supported strictly by the retrieved evidence without hallucinated extrapolations? Answer Relevancy: Does the generated synthesis directly answer the question?โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/Jayan12321/rag-evaluation-benchmark.

Author / organizationJayan12321
License (as declared)mit
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Created18 October 2026
Last updated at source18 October 2026
ragretrieval-augmented-generationevaluationbenchmarkquestion-answeringfaithfulness
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