question:Q: Claim: "Moscovium describes an illness that makes the host immune to alcohol intoxication."Is the claim above correct, and can it be verified by human common sense and without a web search?Options:- yes- noChain-of-thought:

question:Translate "That is what I believe you hinted at when you asked the question about prices." to Finnish?

question:Translate "No, I'm not." to Czech?

question:It is either a white plain on the runway or a black plane flying.. So what could be the question?Question followed by answer: Test for natural language inference.Premise: "A small white plane with someone visible in the window is sitting on a runway."Hypothesis: "A large black airplane is flying through the air."Is the hypothesis entailed by the premise?Options:- yes- no- it is not possible to tellnoWhen focusing on something you are basically looking at said thing.. So what could be the question?Question followed by answer: Given the sentence "A man in a blue sweatshirt looking to his left." is it true that "The man is focusing as to what is over there."?yesA boy that rides a bike on the road is a boy who is on the road.. So what could be the question?Question followed by answer: Premise: "A young boy in a helmet rides a bike on the road."Hypothesis: "A young boy is on the road."Is the hypothesis entailed by the premise?Options:- yes- it is not possible to tell- noyesA child and a dog are not the same thing. A merry-go-round and a roller coaster are not the same thing.. So what could be the question?Question followed by answer:

question:Come up with a question and stream of consciousness reasoning that would justify this answer: no

question:In this task, you will be presented with a context from an academic paper and a question separated with a . You have to answer the question based on the context.Let me give you an example: We evaluate the proposed approach on the Chinese social media text summarization task, based on the sequence-to-sequence model. Large-Scale Chinese Short Text Summarization Dataset (LCSTS) is constructed by BIBREF1 . The dataset consists of more than 2.4 million text-summary pairs in total, constructed from a famous Chinese social media microblogging service Weibo. Question: Are results reported only for English data?The answer to this example can be: NoHere is why: Based on the context, the dataset is constructed from a famous Chinese social media microblogging service Weibo.OK. solve this:Five attributes, specifying certain details of clinical significance, are defined to characterize the answer types of INLINEFORM4 : (1) the time the patient has been experiencing the symptom, (2) activities that trigger the symptom (to occur or worsen), (3) the extent of seriousness, (4) the frequency occurrence of the symptom, and (5) the location of symptom. For each symptom/attribute, it can take on different linguistic expressions, defined as entities. Note that if the queried symptom or attribute is not mentioned in the dialogue, the groundtruth output is “No Answer”, as in BIBREF6 . Question: What labels do they create on their dataset?Answer: