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 the Dialogue State Tracking Competition 2 (DSTC2) dataset BIBREF27 which is the most widely used dataset for research on task-oriented chatbots.  We also used two other datasets recently open-sourced by Google Research BIBREF28 which are M2M-sim-M (dataset in movie domain) and M2M-sim-R (dataset in restaurant domain). 
answer:
What are the three datasets used?


question:
Cuneiform is an ancient writing system invented by the Sumerians for more than three millennia.
answer:
What is one of the first writing systems in the world?


question:
We manually investigate the errors made by artificial neural networks for morphological inflection in a target language after pretraining on different source languages. For our qualitative analysis, we make use of the validation set. Therefore, we show validation set accuracies in Table TABREF19 for comparison. We manually annotate the outputs for the first 75 development examples for each source–target language combination. All found errors are categorized as belonging to one of the following categories.
answer:

How is the performance on the task evaluated?