In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.

Input: Consider Input: One-Vs-The-Rest strategy was adopted for the task of multi-class classification and I reported F-score, micro-F, macro-F and weighted-F scores using 10-fold cross-validation. 

Output: What metrics are considered?


Input: Consider Input: Then, it selects a subset of a 1,700-hour ( INLINEFORM2 1.1M instances) unlabeled dataset.

Output: How much data samples do they start with before obtaining the initial model labels?


Input: Consider Input: the facts that are relevant for answering a particular question) are labeled during training.


Output: What does supporting fact supervision mean?