question:A dog can look at many things other than their owner.The question and answer are below.Test for natural language inference.Premise: "A white dog with red straps on it is looking back."Hypothesis: "The dog is looking at its owner."Is the hypothesis entailed by the premise?Options:- yes- no- it is not possible to tellit is not possible to tellIf the female is carrying nothing with her then the lady does not have a black sling bag.. So what could be the question?Question followed by answer: Premise: "The lady has a black sling bag."Hypothesis: "Female is carrying nthing with her."Is the hypothesis entailed by the premise?Options:- yes- it is not possible to tell- nonoNot everyone on a train or subway are going to work.The question and answer are below.Premise: "People sit aboard a train or subway."Based on this premise, can we conclude that the hypothesis "They are all on their way to work." is true?Options:- yes- it is not possible to tell- noit is not possible to tellA dog chasing a toy does not imply the dog is outside.The question and answer are below.If "A brown dog chasing a yellow toy." does that mean that "The dog is outside."?Options:- yes- it is not possible to tell- noit is not possible to tellWoman climbs a rock is a rephrase of woman described as rock-climbing.. So what could be the question?Question followed by answer: Premise: "A woman wearing a white top with black pants and shoes is rock-climbing."Based on this premise, can we conclude that the hypothesis "A woman climbs a rock." is true?Options:- yes- it is not possible to tell- noyesHe could be riding on the sidewalk. He doesn't have to be on the freeway.. So what could be the question?Question followed by answer:

question:Definition: You are given a sentence in English. Your job is to translate the English sentence into Portugese.Input: The way forward for us is now to standardize this technology.Output:

question:Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.Example input: Italia berhasil mengalahkan Portugal 31-5 di grup C dalam Piala Dunia Rugby 2007 di Parc des Princes, Paris, Perancis.Example output: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。Example explanation: The Bahasa Indonesia sentence is correctly converted into Japanese because the converted sentence holds the message that Italy defeated Portugal 31–5 in Pool C of the 2007 Rugby World Cup at the Parc des Princes in Paris, France. Also, translated sentence preserves the numbers as it is.Q: Pemain asal Prancis bergabung meskipun sangat terkait dengan kepindahan ke Real Madrid selama dua musim panas terakhir.A:

question:Given the task definition, example input & output, solve the new input case.Given a scientific question, generate a correct answer to it.Example: Who proposed the theory of evolution by natural selection?Output: darwinThis is a direct fact that Charles Darwin proposed the theory of evolution.New input case for you: All solutions contain at least how many substances?Output:

question:Detailed Instructions: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command. Here are the definitions of logical operators: 1. count: returns the number of rows in the view 2. only: returns whether there is exactly one row in the view 3. hop: returns the value under the header column of the row 4. and: returns the boolean operation result of two arguments 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column 6. nth max/nth min: returns the n-th max/n-th min of the values under the header column 7. argmax/argmin: returns the row with the max/min value in header column 8. nth argmax/nth argmin: returns the row with the n-th max/min value in header column 9. eq/not eq: returns if the two arguments are equal 10. round eq: returns if the two arguments are roughly equal under certain tolerance 11. greater/less: returns if argument 1 is greater/less than argument 2 12. diff: returns the difference between two arguments 13. filter eq/not eq: returns the subview whose values under the header column is equal/not equal to argument 3 14. filter greater/less: returns the subview whose values under the header column is greater/less than argument 3 15. filter greater eq /less eq: returns the subview whose values under the header column is greater/less or equal than argument 3 16. filter all: returns the view itself for the case of describing the whole table 17. all eq/not eq: returns whether all the values under the header column are equal/not equal to argument 3 18. all greater/less: returns whether all the values under the header column are greater/less than argument 3 19. all greater eq/less eq: returns whether all the values under the header column are greater/less or equal to argument 3 20. most eq/not eq: returns whether most of the values under the header column are equal/not equal to argument 3 21. most greater/less: returns whether most of the values under the header column are greater/less than argument 3 22. most greater eq/less eq: returns whether most of the values under the header column are greater/less or equal to argument 3See one example below:Problem: eq { hop { nth_argmax { all_rows ; attendance ; 3 } ; competition } ; danish superliga 2005 - 06 } = trueSolution: select the row whose attendance record of all rows is 3rd maximum. the competition record of this row is danish superliga 2005-06.Explanation: Here, the generated sentence interprets given logical form correctly that 3rd maximum should be selected from given table rows.Problem: less { hop { filter_eq { all_rows ; director ; brian kelly } ; title } ; hop { filter_eq { all_rows ; director ; andrew lincoln } ; title } } = trueSolution:

question:I don't have internet connection, who do I call?Options:- 911- computer network- company- electrical circuit- airportPlease answer and provide answer explanation.