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.

[EX Q]: We use English translations of the Chinese source texts in the WMT 2017 English–Chinese test set BIBREF18 for all experiments presented in this article:
[EX A]: What languages do they investigate for machine translation?

[EX Q]: Traditional text-to-speech (TTS) systems are composed of complex pipelines BIBREF0 , these often include accoustic frontends, duration model, acoustic prediction model and vocoder models The open source LJSpeech Dataset was used to train our TTS model. The architecture of our model utilizes RNN-based Seq2Seq model for generating mel spectrogram from text
[EX A]: Which dataset(s) do they evaluate on?

[EX Q]: word embedding, input encoder, alignment, aggregation, and prediction
[EX A]:
what is the architecture of the baseline model?