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.

[Q]: We extracted Japanese word pairs from the Evaluation Dataset of Japanese Lexical Simplification kodaira. 
[A]: where does the data come from?


[Q]: We discuss two core models for addressing sequence labeling problems and describe, for each, training them in a single-model multilingual setting: (1) the Meta-LSTM BIBREF0 , an extremely strong baseline for our tasks, and (2) a multilingual BERT-based model BIBREF1 .
[A]: What is the multilingual baseline?


[Q]: To deal with this problem, BIBREF1 introduced a semantically conditioned generation model using Hierarchical Disentangled Self-Attention (HDSA) .
[A]:
what semantically conditioned models did they compare with?