Context Reasoning – openai/o1-mini Task | Opper AI

Context Reasoning

Context understanding and reasoning tasks test accurate answers grounded in provided context. This capability is essential for knowledge-base support bots, policy lookup systems, and internal knowledge Q&A applications. Models are evaluated on their ability to provide accurate answers that are properly grounded in the given context rather than hallucinating information.

Input Tokens

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Output Tokens

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Context

Input

Which patient talked on the phone with a doctor, and what were their symptoms?

Expected output

Melisa Farrow, who had 38.5°C fever, cough, her left side hurts, has pain when breathing and feels dizzy

Model output

Melisa Farrow talked on the phone with a doctor. Her reported symptoms during the call included chills, increased chest pain when breathing, achiness on her left side when coughing, and dizziness.