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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ task_categories:
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+ - table-question-answering
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+ pretty_name: Hybrid RAG Architecture Evaluation Corpus
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+ size_categories:
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+ - n<1K
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+ ---
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+ This dataset comprises the five core reference documents utilized for the qualitative evaluation of a Hybrid Retrieval-Augmented Generation (RAG) Architecture. To rigorously assess the system's performance across diverse document structures—including text, tables, and metadata—these files were selected as the primary knowledge base for testing.
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+ Evaluation was conducted using expert human judgment to ensure the architectural outputs were factually grounded, contextually relevant, and free from hallucinations. This curated corpus serves as a standardized baseline for benchmarking RAG systems that require high-fidelity retrieval from complex, multi-modal PDF sources