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.

Input: Consider Input: For English dataset, we crawl 687 cybersecurity articles from a collection of advanced persistent threats (APT) reports which are published from 2008 to 2018.
Question: Where are the cybersecurity articles used in the model sourced from?

Output: from a collection of advanced persistent threats (APT) reports which are published from 2008 to 2018

Input: Consider Input: Unlike the SQuAD dataset, which only has one passage given a question, there are several related passages for each question in the MS-MARCO dataset. In addition to annotating the answer, MS-MARCO also annotates which passage is correct.
Question: Why MS-MARCO is different from SQuAD?

Output: there are several related passages for each question in the MS-MARCO dataset. MS-MARCO also annotates which passage is correct

Input: Consider Input: Through experiments on two large complex cross-domain datasets, SParC BIBREF2 and CoSQL BIBREF6, we carefully compare and analyze the performance of different context modeling methods.
Question: What two large datasets are used for evaluation?
Output: SParC BIBREF2 and CoSQL BIBREF6