Addressing statistical retrieval failure in AI agents:
UNICEF found leading AI models frequently hallucinate or confuse key figures when querying raw PDF/prose datasets. This tool evaluates chunk retrieval accuracy, precision scoring, and JSON schema readiness.
1. Source Statistical Corpus
~48 TokensSemantic Chunks & Extracted Entities
3 ChunksAgent-Ready Canonical Schema
UN-Google Schema compatible key-value indicators
2. Agent Query Simulator & Audit Engine
Evaluation in Progress
Agent Response Synthesis
Why UNICEF standardizes statistics for AI:
Generalist LLMs commonly confuse regional aggregates with global sums (e.g. interpreting a 78.4% sub-Saharan Africa childhood vaccine coverage as the worldwide rate). Converting unstructured text into atomic semantic vectors and strict UN metadata schemas ensures automated policy advisors receive clean factual boundaries.