Eliminates Data Contamination

Uses entirely novel, human-created content that was never part of any model's training data, ensuring accurate evaluation of true comprehension abilities rather than memorization.

Tests Real Reading Skills

Focuses on genuine reading comprehension by requiring models to extract information from provided contexts, closely mimicking real-world RAG scenarios.

Selective Question Answering

Includes unanswerable questions (20%) to test models' ability to recognize when information is insufficient, a crucial skill for reliable AI systems.

Reveals True Performance

Exposes surprising performance patterns where smaller models sometimes outperform larger ones, providing insights into model capabilities beyond parameter count.

Comprehensive Coverage

Spans 17 diverse document categories from cybersecurity to regional folklore, ensuring robust evaluation across various domain-specific content types.

Enterprise-Ready Evaluation

Perfectly suited for evaluating AI systems in enterprise environments where models must handle proprietary, previously unseen documents with high accuracy.