Context Reasoning – fireworks/deepseek-r1 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

Patient: Melisa Farrow
Symptoms Reported During Phone Call:
- Fever (38.5°C)
- Worsening pleuritic chest pain (left side)
- Chills
- Dizziness
- Increased pain when coughing

(These symptoms led to urgent re-evaluation and confirmed pneumonia diagnosis.)