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 3

and { only { filter_eq { all_rows ; motogp winner ; andrea dovizioso } } ; eq { hop { filter_eq { all_rows ; motogp winner ; andrea dovizioso } ; round } ; 10 } } = true
select the rows whose motogp winner record fuzzily matches to andrea dovizioso . there is only one such row in the table . the round record of this unqiue row is 10 .

and { eq { nth_min { all_rows ; rank ; 6 } ; 6 } ; and { eq { hop { nth_argmin { all_rows ; rank ; 6 } ; team } ; college of saint benilde } ; eq { hop { nth_argmin { all_rows ; rank ; 6 } ; loss } ; 4 } } } = true
the 6th minimum rank record of all rows is 6 . the team record of the row with 6th minimum rank record is college of saint benilde . the loss record of the row with 6th minimum rank record is 4 .

and { eq { hop { filter_eq { all_rows ; trim ; xe ( 2009 ) } ; transmission } ; hop { filter_eq { all_rows ; trim ; xr ( 2009 ) } ; transmission } } ; and { eq { hop { filter_eq { all_rows ; trim ; xe ( 2009 ) } ; transmission } ; 6 - speed 6t40 } ; eq { hop { filter_eq { all_rows ; trim ; xr ( 2009 ) } ; transmission } ; 6 - speed 6t40 } } } = true

select the rows whose trim record fuzzily matches to xe  2009  . take the transmission record of this row . select the rows whose trim record fuzzily matches to xr  2009  . take the transmission record of this row . the first record fuzzily matches to the second record . the transmission record of the first row is 6  speed 6t40 . the transmission record of the second row is 6  speed 6t40 .