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.

50
Duration
1m 30s
Input Tokens
5890
Output Tokens
686
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: His childhood records confirm a diagnosis of mild seasonal asthma at age 10 (records circa 2000–2001). Melisa: There is no documented asthma diagnosis in her record — she has seasonal allergies (on cetirizine) and a recent episode of pneumonia, but no prior asthma diagnosis.