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.

In order to evaluate the models trained on generated data, we manually annotated a named entities dataset comprising 53453 tokens and 2566 sentences selected from over 250 news texts from ilur.am.
what is the source of the news sentences?

SIGHAN Bakeoff defines two types of evaluation settings, closed test limits all the data for learning should not be beyond the given training set, while open test does not take this limitation BIBREF21.
What is meant by closed test setting?

We created this CORD-19-NER dataset with comprehensive named entity annotation on the CORD-19 corpus (2020-03-13).  The corpus is generated from the 29,500 documents in the CORD-19 corpus (2020-03-13). 

What is the size of this dataset?