Instructions: 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: We introduce a new model for difficulty prediction combining learned representations induced via a pre-trained 'universal' sentence encoder BIBREF6 , and a sentence encoder learned from scratch for this task. In total, this resulted in 57,505 and 2,428 sentences in the train and test set abstracts, respectively.
Question: How much data is needed to train the task-specific encoder?
Output:
57,505 sentences