Observability & Evaluation · Data store

Reference Reasoning Dataset

Data storeObservability & EvaluationObservability & Evaluationarc:ReferenceReasoningDataset

A gold-standard dataset pairing problem statements with expert-validated reference reasoning chains, step-level premise/conclusion/evidence annotations, evaluation criteria and expert quality ratings.

Responsibility. Holds expert reference reasoning used to benchmark and calibrate evaluation.

Also known as: Gold-standard dataset, Reference reasoning chains

Direct neighbourhood (hover for relationship types)

Relationships

is read by dependency

is written by dependency

Trace Annotation Console Ch3.9

is guarded by control

Citation Verifier Ch3.9

Design guidance

MUST be created with domain expert involvement and used to calibrate automated metrics before scaling automated evaluation.
SHOULD include adversarial and edge-case problems likely to break reasoning.

Quantitative guidance

As stated by the sources; verify before use.

Example: a medical reference dataset of 100 diverse diagnostic cases with expert reasoning chains serves thousands of evaluations (Ch3.9).

Classification

Risks mitigated: Ground truth gapHallucinated reasoning contaminating reference examples

Sources

Ch3.9: T. Nguyen, "Reasoning Quality," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 3.9. ISBN: 9798244538229.