instruction:
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.
question:
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.  
 Question: How big is QA-CTS task dataset?
answer:
17,833 sentences, 826,987 characters and 2,714 question-answer pairs


question:
For a word belonging to any one of the word-groups representing these concepts, the modified cost term favors an increase for the value of this word's embedding vector dimension corresponding to the concept that the particular word belongs to.  
 Question: Along which dimension do the semantically related words take larger values?
answer:
dimension corresponding to the concept that the particular word belongs to


question:
The ratio of correct `translations' (matches) was used as an evaluation measure. 
 Question: What evaluation metric do they use?
answer:

Accuracy