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:
Although no perfect matches exist, we decided upon the Quora duplicate question dataset BIBREF22 as the best match. To study the embeddings, we computed the euclidean distance between the two questions using various embeddings, to study the distance between semantically similar and dissimilar questions. 
 Question: What existing corpus is used for comparison in these experiments?
answer:
Quora duplicate question dataset BIBREF22


question:
Posts in FBFans dataset are used for this analysis. We calculate the like statistics of each distinct author from these 32,595 posts. 
 Question: What is the size of the Chinese data?
answer:
32,595 posts


question:
We have also included the unlabelled set of 2472 telephone calls from both minor (Cebuano and Mandarin) and major (Tagalog and Cantonese) languages provided by NIST in the system training. 
 Question: Which are the novel languages on which SRE placed emphasis on?
answer:

Cebuano and Mandarin Tagalog and Cantonese