---
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 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, proprietary algorithms, or internal naming conventions are included.