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.

0
Duration
25s
Input Tokens
5891
Output Tokens
197
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 and Melisa were both diagnosed with asthma during their childhood. Oscar's childhood records confirm a mild seasonal asthma diagnosis around age 10. Melisa's asthma diagnosis and history are not explicitly mentioned in the provided context but can be inferred from her medication for allergies indicating she might have experienced allergy-induced respiratory issues. Both diagnoses likely remained dormant until more recent exacerbations.