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.

Our dataset is annotated based on Chinese pathology reports provided by the Department of Gastrointestinal Surgery, Ruijin Hospital. It contains 17,833 sentences, 826,987 characters and 2,714 question-answer pairs. All question-answer pairs are annotated and reviewed by four clinicians with three types of questions, namely tumor size, proximal resection margin and distal resection margin.  
 Question: Is all text in this dataset a question, or are there unrelated sentences in between questions?
the dataset consists of pathology reports including sentences and questions and answers about tumor size and resection margins so it does include additional sentences 

As the baseline, we simply judge the input token as IOCs on the basis of the spelling features described in BIBREF12 . 
 Question: What is used a baseline?
As the baseline, we simply judge the input token as IOCs on the basis of the spelling features described in BIBREF12

 We use the $\textsc {BERT}_{\textsc {BASE}}$ ensemble from BIBREF3 as the single-hop QA model.  
 Question: What off-the-shelf QA model was used to answer sub-questions?

$\textsc {BERT}_{\textsc {BASE}}$ ensemble from BIBREF3