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
3s
Input Tokens
2798
Output Tokens
249
Cost
$0.00
Context
Input
How many cities does the author mention
Expected output
19
Model output
The author mentions the following cities: Cartagena, Granada, Córdoba, Sevilla, Cádiz, Málaga, Jaén, Toledo, Madrid, Ávila, Salamanca, Zamora, San Sebastián, Bilbao, Manchester, and Chefchaouen. That makes a total of 16 cities mentioned across the different journal entries.