In this task, you will be presented with a context from an academic paper and a question separated with a 
. You have to answer the question based on the context.

Yet, we noticed a common misbehavior for all our multimodal models: if the attention loose track of the objects in the picture and "gets lost", the model still takes it into account and somehow overrides the information brought by the text-based annotations. The translation is then totally mislead.  
 Question: What misbehavior is identified?
if the attention loose track of the objects in the picture and "gets lost", the model still takes it into account and somehow overrides the information brought by the text-based annotations

The previously mentioned datasets are all in English 
 Question: For which languages most of the existing MRC datasets are created?
English

In this section, we describe our data collection for these 3 components. We first describe a series of pilot studies that we conducted in order to collect commonsense inference questions (Section SECREF4 ). In Section SECREF5 , we discuss the resulting data collection of questions, texts and answers via crowdsourcing on Amazon Mechanical Turk (henceforth MTurk). Section SECREF17 gives information about some necessary postprocessing steps and the dataset validation.  
 Question: how was the data collected?

The data was collected using 3 components: describe a series of pilot studies that were conducted to collect commonsense inference questions, then discuss the resulting data collection of questions, texts and answers via crowdsourcing on Amazon Mechanical Turk and gives information about some necessary postprocessing steps and the dataset validation.