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We train our models on a dataset of urban aerial imagery consisting of ` same ' and ` different ' pairs , collected for this purpose , and characterize the problem via a human study with annotations from Amazon Mechanical Turk .
 used for: dataset of urban aerial imagery, models; used for: human study, problem; used for: annotations from Amazon Mechanical Turk, human study
Given options, please tell me the relationships of all the listed entity pairs.Output format is "relation1: word1, word2; relation2: word3, word4". 
Option: conjunction, feature of, hyponym of, used for, part of, compare, evaluate for 
Text: {0} 
 Entity Pairs:  dataset of urban aerial imagery, models; human study, problem; annotations from Amazon Mechanical Turk, human study 
Answer:
 used for: dataset of urban aerial imagery, models; used for: human study, problem; used for: annotations from Amazon Mechanical Turk, human study