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.

Example Input: We extracted Japanese word pairs from the Evaluation Dataset of Japanese Lexical Simplification kodaira.
Example Output: where does the data come from?

Example Input: We use the morphological tagging datasets provided by the Universal Dependencies (UD) treebanks (the concatenation of the $4^ ext{th}$ and $6^ ext{th}$ columns of the file format) BIBREF13 .
Example Output: On which dataset is the experiment conducted?

Example Input: In order to derive the discourse features, an entity grid is constructed by feeding the document through an NLP pipeline to identify salient entities. Two flavors of discourse features are created by populating the entity grid with either (i) grammatical relations (GR) or (ii) RST discourse relations (RST). Denoting a feature as such with INLINEFORM4 , we construct the pooling vector INLINEFORM5 for the char-bigrams, and concatenate INLINEFORM6 to INLINEFORM7 before feeding the resulting vector to the softmax layer.
Example Output:
How are discourse features incorporated into the model?