instruction:
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.
question:
We use two datasets in this work: the training is done on the Fisher Corpus English Part 1 (LDC2004S13) BIBREF15 and testing on the Suicide Risk Assessment corpus BIBREF16 , along with Fisher.
answer:
Which dataset do they use to learn embeddings?


question:
Single-Turn: This dataset consists of single-turn instances of statements and responses from the MiM chatbot developed at Constellation AI BIBREF5. Multi-Turn: This dataset is taken from the ConvAI2 challenge and consists of various types of dialogue that have been generated by human-computer conversations.
answer:
what datasets did they use?


question:
We apply our adaptively sparse Transformers on four machine translation tasks.  IWSLT 2017 German $\rightarrow $ English BIBREF27: 200K sentence pairs.

KFTT Japanese $\rightarrow $ English BIBREF28: 300K sentence pairs.

WMT 2016 Romanian $\rightarrow $ English BIBREF29: 600K sentence pairs.

WMT 2014 English $\rightarrow $ German BIBREF30: 4.5M sentence pairs.
answer:

What tasks are used for evaluation?