| 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. | |