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.

30
mistral/mistral-tiny-eu
Average duration
0
Average tokens
0
Average cost
$0
0
null
0
opper_context_sample_01
100
null
0
opper_context_sample_02
100
null
0
opper_context_sample_03
0
null
0
opper_context_sample_04
0
null
0
opper_context_sample_05
0
null
0
opper_context_sample_06
0
null
0
opper_context_sample_07
100
null
0
opper_context_sample_08
50
null
0
opper_context_sample_09
0
null
0
opper_context_sample_10
50
null
0
opper_context_sample_11
50
null
0
opper_context_sample_12
100
null
0
opper_context_sample_13
50
null
0
opper_context_sample_14
100
null
0
opper_context_sample_15
100
null
0
opper_context_sample_16
0
null
0
opper_context_sample_17
0
null
0
opper_context_sample_18
0
null
0
opper_context_sample_19
0
null
0
opper_context_sample_20
50
null
0
opper_context_sample_21
0
null
0
opper_context_sample_22
0
null
0
opper_context_sample_23
50
null
0
opper_context_sample_24
0
null
0
opper_context_sample_25
0
null
0
opper_context_sample_26
0
null
0
opper_context_sample_27
0
null
0
opper_context_sample_28
0
null
0
opper_context_sample_29
0
null
0
opper_context_sample_30