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.

Duration

Input Tokens

5995

Output Tokens

594

Cost

$0.00

Context

Input

Melisa and Oscar, are brothers who have asthma, when was their asthma first diagnosed?

Expected output

There is no information that Melisa and Oscar are siblings. The text only mentions that Oscar had mild seasonal asthma diagnosed around age 10, and there is no information about Melisa's asthma diagnosis.

Model output

Oscar was first diagnosed with asthma at approximately age 10 (around 2000-2001), as confirmed by records from his childhood clinic showing mild seasonal asthma during that time. However, there is no information in the provided context to confirm that Melisa has asthma or when it would have been diagnosed, as her medical records only show she had seasonal allergies and later pneumonia.