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.

[Q]: Hence, the continuous relaxation to top-k-argmax operation can be simply implemented by iteratively using the max operation which is continuous and allows for gradient flow during backpropagation.
Question: Which loss metrics do they try in their new training procedure evaluated on the output of beam search?
[A]: continuous relaxation to top-k-argmax

[Q]: We create a new manually annotated multimodal hate speech dataset formed by $150,000$ tweets, each one of them containing text and an image. We call the dataset MMHS150K, and made it available online . In this section, we explain the dataset creation steps.
Question: How many tweats does MMHS150k contains, 150000?
[A]: $150,000$ tweets

[Q]: Crowd workers were asked to mark whether a triple was correct, namely, did the triple reflect the consequence of the sentence.
Question: What is the role of crowd-sourcing?
[A]:
Crowd workers were asked to mark whether a triple was correct, namely, did the triple reflect the consequence of the sentence.