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"Local RAG Refusal Calibration Benchmark and Results"

Goutam Adwant

IEEE DataPort, 2026

Abstract

"This dataset provides the reproducibility artifact for the IEEE Access manuscript \"When Good Retrieval Is Not Enough: Prompt Design Outperforms Retrieval-Score Gating in Local RAG Refusal.\" It contains Python code, tests, derived evaluation instances, cached local model outputs, summary result files, statistical outputs, and verification scripts for a controlled local retrieval-augmented generation evaluation. The evaluation covers SQuAD v2, HotpotQA, and a bounded Natural Questions stress test. The artifact supports verification of coverage, unsupported-answer risk, utility, latency, and paired statistical results reported in the manuscript. The included scripts allow users to verify the provided results without rerunning generation, or rerun the full experiment with a local Ollama server."

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