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.

100
Duration
10s
Input Tokens
3203
Output Tokens
505
Cost
$0.00
Context
Input
How many cities does the author mention
Expected output
19
Model output
The author mentions 19 different cities throughout the journal entries: Cartagena, Leticia, Manchester, Granada, Córdoba, Sevilla, Cádiz, Málaga, Jaén, Toledo, Madrid, Ávila, Salamanca, Zamora, San Sebastián, Bilbao, Valencia, Tangier, and Chefchaouen.