| | --- |
| | license: mit |
| | task_categories: |
| | - table-question-answering |
| | pretty_name: Hybrid RAG Architecture Evaluation Corpus |
| | size_categories: |
| | - n<1K |
| | --- |
| | |
| | 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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