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:
The speech content was obtained from the closed captions (CC) provided by the YouTube ASR system which can be though as subtitles.
answer:
What ASR system do they use?


question:
The overall Total Accuracy score reported in table TABREF19 using the entire feature set is 549. 
answer:
Do they experiment with the dataset?


question:
The clinical notes we used for the experiment are provided by domain experts, consisting of 1,160 physician logs of Medical ICU admission requests at a tertiary care center affiliated to Mount Sanai. The enriched corpus contains 42,506 Wikipedia articles, each of which corresponds to one candidate, 6 research papers and 2 critical care medicine textbooks, besides our raw ICU data.
answer:

Which dataset do they use to build their model?