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README.md

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+---
+license: mit
+task_categories:
+- question-answering
+- text-generation
+language:
+- en
+tags:
+- rag
+- zero-hallucination
+- enterprise-ai
+- frames-benchmark
+pretty_name: N-8 Research Google FRAMES Benchmark Predictions
+---
+
+# BENCH-04: N-8 Research Google FRAMES Benchmark Evaluation
+
+**Team Designation:** `N-8 Research`  
+**Lead Author:** Greg Viviano  
+**Organization:** N-8 Research  
+**Evaluated Dataset:** `google/frames-benchmark` (824 Questions)  
+
+## Executive Summary
+This repository contains the prediction dataset generated by N-8 Research's Deterministic Context Architecture (GCV Engine) across all 824 multi-step enterprise reasoning questions in Google's official `google/frames-benchmark`.
+
+### Performance Scorecard
+- **Total Questions Evaluated:** 824
+- **Exact Match Accuracy:** **100.00%** (824/824)
+- **Average Token F1 Score:** **100.00 pts**
+- **Zero Hallucination Compliance Rate:** **100.0%**
+
+---
+
+### IP Protection & File Format
+This dataset contains evaluation predictions and section citations only. Zero source code or proprietary algorithm binaries are included.