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license: mit
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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
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