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.

We recruited 100 crowdworkers on Amazon Mechanical Turk (AMT) and measured completion times and accuracies for typing randomly sampled sentences from the Yelp corpus.
Question: What user variations have been tested?
completion times and accuracies

The input for both tasks consists of news articles in free-text format, collected from 36 propagandist and 12 non-propagandist news outlets and then annotated by professional annotators.
Question: What dataset was used?
news articles in free-text format

WikiTableQuestions contains 22,033 questions and is an order of magnitude larger than previous state-of-the-art datasets. Its questions were not designed by predefined templates but were hand crafted by users, demonstrating high linguistic variance.
Question: How do they gather data for the query explanation problem?
hand crafted by users