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.

Example Input: In target data, the code is written in Python programming language. 
 Question: What programming language is target language?
Example Output: Python

Example Input: We create three additional training datasets by adding sentences involving object RCs to the original Wikipedia corpus (Section lm). To this end, we randomly pick up 30 million sentences from Wikipedia (not overlapped to any sentences in the original corpus), parse by the same parser, and filter sentences containing an object RC, amounting to 680,000 sentences.  
 Question: How do they perform data augmentation?
Example Output: They randomly sample sentences from Wikipedia that contains an object RC and add them to training data

Example Input: A part of the ILCI English-Hindi Tourism parallel corpus (1500 sentences) was used for training the classifiers.  
 Question: What is the size of the parallel corpus used to train the model constraints?
Example Output:
1500 sentences