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 created our own causal explanation dataset by collecting 3,268 random Facebook status update messages.
answer:
What types of social media did they consider?


question:
The BLEU metric is adopted to evaluate the model performance during evaluation.
answer:
What evaluation metric is used?


question:
One of the several formats into which FHIR can be serialized is RDF. However, because RDF was designed as an abstract information model and FHIR was designed for operational use in a healthcare setting, there is the potential for a slight mismatch between the models. This comes up in two ways: One, RDF makes statements of fact, whereas FHIR makes records of events. Two, RDF is intended to have the property of monotonicity, meaning that previous facts cannot be invalidated by new facts.
answer:

How are FHIR and RDF combined?